ASRock B660-ITX
Geekbench AI Score
2056
Single Precision Score
2035
Half Precision Score
1386
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 16 2025 02:57 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 750 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASRock B660-ITX |
| Motherboard | ASRock B660-ITX |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13400 |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
778
144.7 IPS |
|
|
Image Classification (HP)
|
100% |
776
144.4 IPS |
|
|
Image Classification (Q)
|
99% |
675
125.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1057
17.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1046
16.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
855
13.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5406
6.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
5833
6.81 IPS |
|
|
Pose Estimation (Q)
|
96% |
2320
2.72 IPS |
|
|
Object Detection (SP)
|
100% |
972
77.1 IPS |
|
|
Object Detection (HP)
|
100% |
955
75.8 IPS |
|
|
Object Detection (Q)
|
83% |
804
65.0 IPS |
|
|
Face Detection (SP)
|
100% |
1634
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
1645
19.5 IPS |
|
|
Face Detection (Q)
|
97% |
1344
16.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3441
26.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3331
25.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
2777
22.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10016
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
9873
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
8730
11.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3052
112.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2827
104.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2104
77.9 IPS |
|
|
Text Classification (SP)
|
100% |
996
1.33 KIPS |
|
|
Text Classification (HP)
|
100% |
1047
1.40 KIPS |
|
|
Text Classification (Q)
|
97% |
516
690.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1831
31.5 IPS |
|
|
Machine Translation (HP)
|
96% |
1687
29.2 IPS |
|
|
Machine Translation (Q)
|
70% |
687
12.9 IPS |
