ASUSTeK COMPUTER INC. ROG Strix G731GW_G731GW
Geekbench AI Score
2123
Single Precision Score
2067
Half Precision Score
3379
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 07:22 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-9750H CPU @ 2.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix G731GW_G731GW |
| Motherboard | ASUSTeK COMPUTER INC. G731GW |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1343
249.7 IPS |
|
|
Image Classification (HP)
|
100% |
1324
246.2 IPS |
|
|
Image Classification (Q)
|
100% |
1980
368.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1181
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1172
19.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2068
33.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3126
3.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
3107
3.62 IPS |
|
|
Pose Estimation (Q)
|
94% |
5989
7.02 IPS |
|
|
Object Detection (SP)
|
100% |
1411
111.9 IPS |
|
|
Object Detection (HP)
|
100% |
1285
101.9 IPS |
|
|
Object Detection (Q)
|
87% |
2091
167.7 IPS |
|
|
Face Detection (SP)
|
100% |
2179
25.9 IPS |
|
|
Face Detection (HP)
|
100% |
1735
20.6 IPS |
|
|
Face Detection (Q)
|
97% |
4905
58.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3141
24.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3319
25.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
5329
42.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8038
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
7519
9.67 IPS |
|
|
Style Transfer (Q)
|
98% |
15109
19.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1538
56.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1606
59.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4446
164.7 IPS |
|
|
Text Classification (SP)
|
100% |
1463
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
1544
2.06 KIPS |
|
|
Text Classification (Q)
|
91% |
1037
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
2148
37.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2143
36.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2084
35.9 IPS |
