ASUSTeK COMPUTER INC. ROG STRIX G16CH_G16CH
Geekbench AI Score
16531
Single Precision Score
26568
Half Precision Score
10595
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Betancd |
| Upload Date | December 02 2024 05:38 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG STRIX G16CH_G16CH |
| Motherboard | ASUSTeK COMPUTER INC. G16CH |
| Power Plan | Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700KF |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6851
1.27 KIPS |
|
|
Image Classification (HP)
|
99% |
10358
1.93 KIPS |
|
|
Image Classification (Q)
|
100% |
4739
881.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
9797
158.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
13861
224.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
8146
132.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
96713
112.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
276362
322.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
78263
91.6 IPS |
|
|
Object Detection (SP)
|
100% |
8762
695.0 IPS |
|
|
Object Detection (HP)
|
100% |
13816
1.10 KIPS |
|
|
Object Detection (Q)
|
88% |
5937
476.1 IPS |
|
|
Face Detection (SP)
|
100% |
17650
209.7 IPS |
|
|
Face Detection (HP)
|
100% |
26475
314.6 IPS |
|
|
Face Detection (Q)
|
97% |
12831
153.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
40583
312.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
75824
584.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
26389
212.6 IPS |
|
|
Style Transfer (SP)
|
100% |
166773
214.4 IPS |
|
|
Style Transfer (HP)
|
100% |
404635
520.2 IPS |
|
|
Style Transfer (Q)
|
98% |
128114
165.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29650
1.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
39213
1.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16220
600.6 IPS |
|
|
Text Classification (SP)
|
100% |
2601
3.47 KIPS |
|
|
Text Classification (HP)
|
99% |
3432
4.58 KIPS |
|
|
Text Classification (Q)
|
97% |
1327
1.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
2910
50.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2925
50.4 IPS |
|
|
Machine Translation (Q)
|
60% |
1065
23.7 IPS |
