ASRock B760M Pro RS
Geekbench AI Score
27202
Single Precision Score
40684
Half Precision Score
20482
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 04 2025 01:27 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 |
| 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% |
10443
1.94 KIPS |
|
|
Image Classification (HP)
|
99% |
16208
3.02 KIPS |
|
|
Image Classification (Q)
|
100% |
9120
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19668
318.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
26056
422.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
17516
284.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
148503
173.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
334819
390.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
131025
153.5 IPS |
|
|
Object Detection (SP)
|
100% |
13093
1.04 KIPS |
|
|
Object Detection (HP)
|
100% |
20754
1.65 KIPS |
|
|
Object Detection (Q)
|
85% |
11135
896.4 IPS |
|
|
Face Detection (SP)
|
100% |
35789
425.2 IPS |
|
|
Face Detection (HP)
|
100% |
50732
602.8 IPS |
|
|
Face Detection (Q)
|
97% |
30473
363.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
64657
498.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
107361
827.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
50067
399.8 IPS |
|
|
Style Transfer (SP)
|
100% |
262820
337.9 IPS |
|
|
Style Transfer (HP)
|
100% |
562350
722.9 IPS |
|
|
Style Transfer (Q)
|
98% |
232946
300.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45879
1.69 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
56680
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31885
1.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3663
4.89 KIPS |
|
|
Text Classification (HP)
|
99% |
4485
5.99 KIPS |
|
|
Text Classification (Q)
|
97% |
2163
2.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
5435
93.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5438
93.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2275
42.7 IPS |
