ASRock B760M Pro RS
Geekbench AI Score
26991
Single Precision Score
41129
Half Precision Score
20273
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 09 2025 12:53 PM |
| Views | 2 |
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% |
10332
1.92 KIPS |
|
|
Image Classification (HP)
|
99% |
16692
3.11 KIPS |
|
|
Image Classification (Q)
|
100% |
9024
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19841
321.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
26079
422.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
17554
285.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
145015
169.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
338354
394.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
125607
147.2 IPS |
|
|
Object Detection (SP)
|
100% |
13066
1.04 KIPS |
|
|
Object Detection (HP)
|
100% |
20986
1.66 KIPS |
|
|
Object Detection (Q)
|
85% |
11175
899.6 IPS |
|
|
Face Detection (SP)
|
100% |
35898
426.5 IPS |
|
|
Face Detection (HP)
|
100% |
51176
608.1 IPS |
|
|
Face Detection (Q)
|
97% |
29728
354.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
62962
485.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
107510
828.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
49283
393.5 IPS |
|
|
Style Transfer (SP)
|
100% |
261563
336.2 IPS |
|
|
Style Transfer (HP)
|
100% |
566726
728.5 IPS |
|
|
Style Transfer (Q)
|
98% |
228475
294.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46379
1.71 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
57216
2.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32298
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3686
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
4558
6.08 KIPS |
|
|
Text Classification (Q)
|
97% |
2200
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
5228
90.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5511
94.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2218
41.6 IPS |
