ASUSTeK COMPUTER INC. ROG Strix G16 G614JIR_G614JIR
Geekbench AI Score
20051
Single Precision Score
31816
Half Precision Score
15156
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | RMK1987 |
| Upload Date | April 08 2025 09:50 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Laptop GPU |
| 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 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8446
1.57 KIPS |
|
|
Image Classification (HP)
|
99% |
13593
2.54 KIPS |
|
|
Image Classification (Q)
|
100% |
7379
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12221
198.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15434
250.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
11424
185.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
118168
137.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
305037
355.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
99063
116.0 IPS |
|
|
Object Detection (SP)
|
100% |
9873
783.1 IPS |
|
|
Object Detection (HP)
|
100% |
15867
1.26 KIPS |
|
|
Object Detection (Q)
|
88% |
8048
645.4 IPS |
|
|
Face Detection (SP)
|
100% |
20544
244.1 IPS |
|
|
Face Detection (HP)
|
100% |
31104
369.6 IPS |
|
|
Face Detection (Q)
|
97% |
16445
196.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
50684
390.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
86029
662.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
39752
319.4 IPS |
|
|
Style Transfer (SP)
|
100% |
186341
239.5 IPS |
|
|
Style Transfer (HP)
|
100% |
446717
574.3 IPS |
|
|
Style Transfer (Q)
|
98% |
168000
216.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38544
1.42 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
56410
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27620
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
3576
4.77 KIPS |
|
|
Text Classification (HP)
|
99% |
4507
6.02 KIPS |
|
|
Text Classification (Q)
|
97% |
2143
2.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3263
56.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3445
59.5 IPS |
|
|
Machine Translation (Q)
|
60% |
1464
32.7 IPS |
