ASRock B760M Pro RS
Geekbench AI Score
5029
Single Precision Score
1682
Half Precision Score
8058
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 09 2025 12:45 PM |
| 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% |
4004
744.6 IPS |
|
|
Image Classification (HP)
|
100% |
635
118.0 IPS |
|
|
Image Classification (Q)
|
99% |
7112
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2155
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1248
20.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4116
66.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9071
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
3904
4.55 IPS |
|
|
Pose Estimation (Q)
|
94% |
28420
33.3 IPS |
|
|
Object Detection (SP)
|
100% |
3683
292.1 IPS |
|
|
Object Detection (HP)
|
100% |
806
64.0 IPS |
|
|
Object Detection (Q)
|
86% |
7479
601.1 IPS |
|
|
Face Detection (SP)
|
100% |
10230
121.6 IPS |
|
|
Face Detection (HP)
|
100% |
2016
24.0 IPS |
|
|
Face Detection (Q)
|
97% |
11201
133.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11138
85.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2141
16.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
17407
138.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20429
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10853
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
23541
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3660
135.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2169
80.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5132
190.0 IPS |
|
|
Text Classification (SP)
|
100% |
1871
2.50 KIPS |
|
|
Text Classification (HP)
|
100% |
877
1.17 KIPS |
|
|
Text Classification (Q)
|
97% |
1951
2.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2255
38.8 IPS |
|
|
Machine Translation (HP)
|
100% |
817
14.1 IPS |
|
|
Machine Translation (Q)
|
65% |
4039
81.2 IPS |
