ASRock B760M Pro RS
Geekbench AI Score
27198
Single Precision Score
40681
Half Precision Score
20207
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 25 2025 12:07 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10597
1.97 KIPS |
|
|
Image Classification (HP)
|
99% |
16348
3.05 KIPS |
|
|
Image Classification (Q)
|
100% |
9332
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19845
321.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
26013
421.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
17664
287.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
145173
169.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
322683
376.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
126589
148.3 IPS |
|
|
Object Detection (SP)
|
100% |
13367
1.06 KIPS |
|
|
Object Detection (HP)
|
100% |
20990
1.66 KIPS |
|
|
Object Detection (Q)
|
85% |
11232
904.2 IPS |
|
|
Face Detection (SP)
|
100% |
35206
418.3 IPS |
|
|
Face Detection (HP)
|
100% |
51293
609.5 IPS |
|
|
Face Detection (Q)
|
97% |
30317
361.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
64462
496.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
108072
832.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
47120
376.2 IPS |
|
|
Style Transfer (SP)
|
100% |
260889
335.4 IPS |
|
|
Style Transfer (HP)
|
100% |
547373
703.7 IPS |
|
|
Style Transfer (Q)
|
98% |
222740
287.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46610
1.72 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
56428
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32995
1.22 KIPS |
|
|
Text Classification (SP)
|
100% |
3641
4.86 KIPS |
|
|
Text Classification (HP)
|
99% |
4571
6.10 KIPS |
|
|
Text Classification (Q)
|
97% |
2158
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
5403
93.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5507
94.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2138
40.1 IPS |
