ASUSTeK COMPUTER INC. G752VS
Geekbench AI Score
1629
Single Precision Score
764
Half Precision Score
2129
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Chipster1975 |
| Upload Date | March 26 2025 05:11 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-6820HK |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. G752VS |
| Motherboard | ASUSTeK COMPUTER INC. G752VS |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-6820HK |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1254
233.2 IPS |
|
|
Image Classification (HP)
|
100% |
296
55.0 IPS |
|
|
Image Classification (Q)
|
96% |
1801
336.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
730
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
436
7.07 IPS |
|
|
Image Segmentation (Q)
|
97% |
1123
18.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2112
2.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
1797
2.10 IPS |
|
|
Pose Estimation (Q)
|
86% |
4060
4.80 IPS |
|
|
Object Detection (SP)
|
100% |
1138
90.3 IPS |
|
|
Object Detection (HP)
|
100% |
374
29.7 IPS |
|
|
Object Detection (Q)
|
58% |
1269
138.7 IPS |
|
|
Face Detection (SP)
|
100% |
2346
27.9 IPS |
|
|
Face Detection (HP)
|
100% |
808
9.60 IPS |
|
|
Face Detection (Q)
|
96% |
3439
41.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2960
22.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1079
8.31 IPS |
|
|
Depth Estimation (Q)
|
78% |
4184
33.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5847
7.52 IPS |
|
|
Style Transfer (HP)
|
100% |
4245
5.46 IPS |
|
|
Style Transfer (Q)
|
87% |
7795
10.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1125
41.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
940
34.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1391
51.5 IPS |
|
|
Text Classification (SP)
|
100% |
1019
1.36 KIPS |
|
|
Text Classification (HP)
|
100% |
486
648.5 IPS |
|
|
Text Classification (Q)
|
97% |
789
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1289
22.2 IPS |
|
|
Machine Translation (HP)
|
100% |
466
8.03 IPS |
|
|
Machine Translation (Q)
|
68% |
1498
28.9 IPS |
