ASUS System Product Name
Geekbench AI Score
2208
Single Precision Score
1104
Half Precision Score
3654
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | DAnaselo |
| Upload Date | July 10 2025 01:40 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-10600KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME H410M-E |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10600KF |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 4.10 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1644
305.8 IPS |
|
|
Image Classification (HP)
|
100% |
410
76.3 IPS |
|
|
Image Classification (Q)
|
96% |
3208
599.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
905
14.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
613
9.94 IPS |
|
|
Image Segmentation (Q)
|
97% |
3596
58.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3617
4.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
3059
3.57 IPS |
|
|
Pose Estimation (Q)
|
86% |
7653
9.05 IPS |
|
|
Object Detection (SP)
|
100% |
1703
135.1 IPS |
|
|
Object Detection (HP)
|
100% |
511
40.6 IPS |
|
|
Object Detection (Q)
|
58% |
2093
228.7 IPS |
|
|
Face Detection (SP)
|
100% |
2233
26.5 IPS |
|
|
Face Detection (HP)
|
100% |
977
11.6 IPS |
|
|
Face Detection (Q)
|
96% |
5013
59.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4584
35.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1563
12.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
6794
54.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8895
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
7437
9.56 IPS |
|
|
Style Transfer (Q)
|
87% |
9724
12.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1581
58.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1393
51.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3411
126.4 IPS |
|
|
Text Classification (SP)
|
100% |
1427
1.90 KIPS |
|
|
Text Classification (HP)
|
100% |
729
972.5 IPS |
|
|
Text Classification (Q)
|
97% |
1124
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1465
25.2 IPS |
|
|
Machine Translation (HP)
|
100% |
596
10.3 IPS |
|
|
Machine Translation (Q)
|
68% |
1813
35.0 IPS |
