ASRock B760M Pro RS
Geekbench AI Score
26705
Single Precision Score
41004
Half Precision Score
20188
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | September 13 2025 12:00 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock B760M Pro RS |
| Motherboard | ASRock B760M Pro RS |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700KF |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10165
1.89 KIPS |
|
|
Image Classification (HP)
|
99% |
16525
3.08 KIPS |
|
|
Image Classification (Q)
|
100% |
9121
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20035
324.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
26382
427.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
17723
288.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
142683
166.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
341880
398.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
124317
145.7 IPS |
|
|
Object Detection (SP)
|
100% |
13335
1.06 KIPS |
|
|
Object Detection (HP)
|
100% |
20760
1.65 KIPS |
|
|
Object Detection (Q)
|
85% |
11021
887.2 IPS |
|
|
Face Detection (SP)
|
100% |
34632
411.5 IPS |
|
|
Face Detection (HP)
|
100% |
51906
616.8 IPS |
|
|
Face Detection (Q)
|
97% |
28081
334.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
60758
468.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
105591
813.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
49332
393.9 IPS |
|
|
Style Transfer (SP)
|
100% |
251871
323.8 IPS |
|
|
Style Transfer (HP)
|
100% |
568685
731.1 IPS |
|
|
Style Transfer (Q)
|
98% |
225555
290.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46435
1.71 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
57177
2.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32803
1.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3710
4.95 KIPS |
|
|
Text Classification (HP)
|
99% |
4498
6.00 KIPS |
|
|
Text Classification (Q)
|
97% |
2224
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
5216
89.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5418
93.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2228
41.8 IPS |
