ASUS System Product Name
Geekbench AI Score
2093
Single Precision Score
1022
Half Precision Score
3251
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | aaalluhaybi |
| Upload Date | April 18 2026 06:49 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-10400F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME H510M-K |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10400F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1503
279.4 IPS |
|
|
Image Classification (HP)
|
100% |
375
69.8 IPS |
|
|
Image Classification (Q)
|
96% |
2394
447.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
778
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
552
8.94 IPS |
|
|
Image Segmentation (Q)
|
97% |
3237
52.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3166
3.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
3078
3.59 IPS |
|
|
Pose Estimation (Q)
|
86% |
7381
8.73 IPS |
|
|
Object Detection (SP)
|
100% |
1686
133.7 IPS |
|
|
Object Detection (HP)
|
100% |
509
40.4 IPS |
|
|
Object Detection (Q)
|
58% |
1922
210.0 IPS |
|
|
Face Detection (SP)
|
100% |
2644
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
996
11.8 IPS |
|
|
Face Detection (Q)
|
96% |
4898
58.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4875
37.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1503
11.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
6072
48.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8486
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
6421
8.25 IPS |
|
|
Style Transfer (Q)
|
87% |
9589
12.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1510
55.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1350
49.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2770
102.6 IPS |
|
|
Text Classification (SP)
|
100% |
1229
1.64 KIPS |
|
|
Text Classification (HP)
|
100% |
599
800.1 IPS |
|
|
Text Classification (Q)
|
97% |
916
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1279
22.0 IPS |
|
|
Machine Translation (HP)
|
100% |
497
8.56 IPS |
|
|
Machine Translation (Q)
|
68% |
1661
32.1 IPS |
