ASUS System Product Name
Geekbench AI Score
3452
Single Precision Score
1507
Half Precision Score
4182
Quantized Score
Geekbench AI 1.1.0 Corporate for Windows AVX2
Result Information
| Upload Date | February 07 2026 01:15 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13600KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. EX-B660M-V5 PRO D4 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600KF |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2115
393.3 IPS |
|
|
Image Classification (HP)
|
100% |
539
100.2 IPS |
|
|
Image Classification (Q)
|
99% |
3783
705.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1924
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1040
16.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2949
48.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7282
8.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
4460
5.20 IPS |
|
|
Pose Estimation (Q)
|
95% |
23829
27.9 IPS |
|
|
Object Detection (SP)
|
100% |
2275
180.4 IPS |
|
|
Object Detection (HP)
|
100% |
694
55.1 IPS |
|
|
Object Detection (Q)
|
88% |
2254
180.7 IPS |
|
|
Face Detection (SP)
|
100% |
2529
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
1399
16.6 IPS |
|
|
Face Detection (Q)
|
97% |
3801
45.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7774
59.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2063
15.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
7793
62.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16284
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
11191
14.4 IPS |
|
|
Style Transfer (Q)
|
98% |
15958
20.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3123
115.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2166
80.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4689
173.6 IPS |
|
|
Text Classification (SP)
|
100% |
1824
2.43 KIPS |
|
|
Text Classification (HP)
|
100% |
726
968.8 IPS |
|
|
Text Classification (Q)
|
97% |
579
775.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1955
33.7 IPS |
|
|
Machine Translation (HP)
|
100% |
689
11.9 IPS |
|
|
Machine Translation (Q)
|
60% |
2132
47.6 IPS |
