ASUS System Product Name
Geekbench AI Score
3344
Single Precision Score
3382
Half Precision Score
5312
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | DAnaselo |
| Upload Date | July 10 2025 01:44 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-10600KF CPU @ 4.10GHz |
| 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% |
2092
389.0 IPS |
|
|
Image Classification (HP)
|
100% |
2190
407.2 IPS |
|
|
Image Classification (Q)
|
100% |
3537
657.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1904
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1959
31.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3718
60.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4781
5.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
4736
5.53 IPS |
|
|
Pose Estimation (Q)
|
94% |
9583
11.2 IPS |
|
|
Object Detection (SP)
|
100% |
2119
168.1 IPS |
|
|
Object Detection (HP)
|
100% |
2132
169.1 IPS |
|
|
Object Detection (Q)
|
87% |
3671
294.4 IPS |
|
|
Face Detection (SP)
|
100% |
2937
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
2988
35.5 IPS |
|
|
Face Detection (Q)
|
97% |
9434
112.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5635
43.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
5736
44.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
9948
78.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13409
17.2 IPS |
|
|
Style Transfer (HP)
|
100% |
13511
17.4 IPS |
|
|
Style Transfer (Q)
|
98% |
27481
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2662
98.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2667
98.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5733
212.3 IPS |
|
|
Text Classification (SP)
|
100% |
2458
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
2447
3.27 KIPS |
|
|
Text Classification (Q)
|
91% |
916
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
2986
51.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2999
51.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2859
49.2 IPS |
