ASUS System Product Name
Geekbench AI Score
771
Single Precision Score
795
Half Precision Score
521
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 26 2025 10:38 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 770 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B660M-A WIFI D4 |
| Power Plan | Power saver |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13500 |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
337
62.6 IPS |
|
|
Image Classification (HP)
|
100% |
337
62.7 IPS |
|
|
Image Classification (Q)
|
100% |
279
52.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
462
7.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
526
8.53 IPS |
|
|
Image Segmentation (Q)
|
98% |
355
5.77 IPS |
|
|
Pose Estimation (SP)
|
100% |
2362
2.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
2557
2.98 IPS |
|
|
Pose Estimation (Q)
|
96% |
1575
1.84 IPS |
|
|
Object Detection (SP)
|
100% |
373
29.6 IPS |
|
|
Object Detection (HP)
|
98% |
317
25.2 IPS |
|
|
Object Detection (Q)
|
86% |
310
24.9 IPS |
|
|
Face Detection (SP)
|
100% |
747
8.87 IPS |
|
|
Face Detection (HP)
|
100% |
815
9.69 IPS |
|
|
Face Detection (Q)
|
97% |
556
6.63 IPS |
|
|
Depth Estimation (SP)
|
100% |
1408
10.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
1577
12.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
1044
8.36 IPS |
|
|
Style Transfer (SP)
|
100% |
4849
6.23 IPS |
|
|
Style Transfer (HP)
|
100% |
6565
8.44 IPS |
|
|
Style Transfer (Q)
|
98% |
3600
4.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
840
31.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1154
42.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
424
15.7 IPS |
|
|
Text Classification (SP)
|
100% |
359
479.6 IPS |
|
|
Text Classification (HP)
|
100% |
216
287.8 IPS |
|
|
Text Classification (Q)
|
97% |
190
254.1 IPS |
|
|
Machine Translation (SP)
|
100% |
353
6.09 IPS |
|
|
Machine Translation (HP)
|
100% |
337
5.80 IPS |
|
|
Machine Translation (Q)
|
70% |
184
3.44 IPS |
