ASRock B760M Pro RS
Geekbench AI Score
4834
Single Precision Score
1621
Half Precision Score
7948
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 09 2025 01:42 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% |
4049
752.9 IPS |
|
|
Image Classification (HP)
|
100% |
627
116.5 IPS |
|
|
Image Classification (Q)
|
99% |
6783
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2163
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1248
20.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4101
66.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6793
7.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
3866
4.51 IPS |
|
|
Pose Estimation (Q)
|
94% |
28906
33.9 IPS |
|
|
Object Detection (SP)
|
100% |
3568
283.0 IPS |
|
|
Object Detection (HP)
|
100% |
744
59.0 IPS |
|
|
Object Detection (Q)
|
86% |
7214
579.8 IPS |
|
|
Face Detection (SP)
|
100% |
9586
113.9 IPS |
|
|
Face Detection (HP)
|
100% |
1765
21.0 IPS |
|
|
Face Detection (Q)
|
97% |
11378
135.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11050
85.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2107
16.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
17238
137.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19780
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10690
13.7 IPS |
|
|
Style Transfer (Q)
|
98% |
22046
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3542
130.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2181
80.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5460
202.2 IPS |
|
|
Text Classification (SP)
|
100% |
1794
2.39 KIPS |
|
|
Text Classification (HP)
|
100% |
831
1.11 KIPS |
|
|
Text Classification (Q)
|
97% |
1932
2.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
2467
42.5 IPS |
|
|
Machine Translation (HP)
|
100% |
775
13.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3806
76.5 IPS |
