ASUSTeK COMPUTER INC. ROG Strix G16 G614JIR_G614JIR
Geekbench ML Score
12812
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | RMK1987 |
| Upload Date | April 03 2025 09:22 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix G16 G614JIR_G614JIR |
| Motherboard | ASUSTeK COMPUTER INC. G614JIR |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 48.0 KB x 16 |
| L2 Cache | 2.00 MB x 4 |
| L3 Cache | 36.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5537
1.04 KIPS |
|
|
Image Classification (F16)
|
100% |
7208
1.35 KIPS |
|
|
Image Classification (I8)
|
100% |
6198
1.16 KIPS |
|
|
Image Segmentation (F32)
|
100% |
8978
149.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
9112
152.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
7981
133.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
78976
95.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
80084
97.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
68099
82.5 IPS |
|
|
Object Detection (F32)
|
100% |
4549
339.6 IPS |
|
|
Object Detection (F16)
|
100% |
4448
332.1 IPS |
|
|
Object Detection (I8)
|
63% |
4498
335.8 IPS |
|
|
Face Detection (F32)
|
100% |
17974
213.7 IPS |
|
|
Face Detection (F16)
|
100% |
19184
228.1 IPS |
|
|
Face Detection (I8)
|
89% |
16168
192.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
46668
361.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
30308
235.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
34083
264.3 IPS |
|
|
Style Transfer (F32)
|
100% |
110526
145.4 IPS |
|
|
Style Transfer (F16)
|
100% |
112023
147.4 IPS |
|
|
Style Transfer (I8)
|
98% |
99889
131.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23876
852.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
22396
799.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
15688
560.3 IPS |
|
|
Text Classification (F32)
|
100% |
2172
3.12 KIPS |
|
|
Text Classification (F16)
|
100% |
2188
3.15 KIPS |
|
|
Text Classification (I8)
|
98% |
1092
1.57 KIPS |
|
|
Machine Translation (F32)
|
100% |
3220
59.3 IPS |
|
|
Machine Translation (F16)
|
100% |
3158
58.1 IPS |
|
|
Machine Translation (I8)
|
70% |
1821
33.5 IPS |
