ASUSTeK COMPUTER INC. ROG Strix SCAR 16 G634JZR_G634JZR
Geekbench ML Score
4431
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | vod19ka |
| Upload Date | August 01 2024 07:08 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix SCAR 16 G634JZR_G634JZR |
| Motherboard | ASUSTeK COMPUTER INC. G634JZR |
| Power Plan | Turbo |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2428
454.4 IPS |
|
|
Image Classification (F16)
|
100% |
2301
430.6 IPS |
|
|
Image Classification (I8)
|
99% |
3838
718.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
2101
35.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
2094
35.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
3153
52.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
10252
12.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
10227
12.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
29452
35.7 IPS |
|
|
Object Detection (F32)
|
100% |
2348
175.3 IPS |
|
|
Object Detection (F16)
|
100% |
2166
161.7 IPS |
|
|
Object Detection (I8)
|
62% |
1897
141.6 IPS |
|
|
Face Detection (F32)
|
100% |
4646
55.2 IPS |
|
|
Face Detection (F16)
|
100% |
4609
54.8 IPS |
|
|
Face Detection (I8)
|
89% |
4650
55.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
9697
75.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
9467
73.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
15419
119.6 IPS |
|
|
Style Transfer (F32)
|
100% |
22761
29.9 IPS |
|
|
Style Transfer (F16)
|
100% |
21993
28.9 IPS |
|
|
Style Transfer (I8)
|
98% |
25073
33.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4246
151.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4315
154.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5159
184.2 IPS |
|
|
Text Classification (F32)
|
100% |
1591
2.29 KIPS |
|
|
Text Classification (F16)
|
100% |
1573
2.26 KIPS |
|
|
Text Classification (I8)
|
98% |
463
666.0 IPS |
|
|
Machine Translation (F32)
|
100% |
2262
41.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2172
40.0 IPS |
|
|
Machine Translation (I8)
|
67% |
2963
54.5 IPS |
