ASRock B760M Pro RS
Geekbench AI Score
4928
Single Precision Score
1609
Half Precision Score
8180
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 18 2025 03:43 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASRock B760M Pro RS |
| Motherboard | ASRock B760M Pro RS |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700F |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4170
775.5 IPS |
|
|
Image Classification (HP)
|
100% |
617
114.7 IPS |
|
|
Image Classification (Q)
|
99% |
7539
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2147
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1215
19.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4120
67.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7433
8.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
3892
4.54 IPS |
|
|
Pose Estimation (Q)
|
94% |
28958
34.0 IPS |
|
|
Object Detection (SP)
|
100% |
3752
297.6 IPS |
|
|
Object Detection (HP)
|
100% |
719
57.0 IPS |
|
|
Object Detection (Q)
|
86% |
7714
620.0 IPS |
|
|
Face Detection (SP)
|
100% |
9661
114.8 IPS |
|
|
Face Detection (HP)
|
100% |
1737
20.6 IPS |
|
|
Face Detection (Q)
|
97% |
10986
131.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11175
86.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2170
16.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
16911
134.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20194
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
10905
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
24143
31.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3485
128.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2101
77.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5603
207.5 IPS |
|
|
Text Classification (SP)
|
100% |
1832
2.44 KIPS |
|
|
Text Classification (HP)
|
100% |
793
1.06 KIPS |
|
|
Text Classification (Q)
|
97% |
1926
2.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
2435
41.9 IPS |
|
|
Machine Translation (HP)
|
100% |
814
14.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3995
80.3 IPS |
