ASRock B760M Pro RS
Geekbench AI Score
26957
Single Precision Score
40949
Half Precision Score
20307
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 25 2025 12:10 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% |
10377
1.93 KIPS |
|
|
Image Classification (HP)
|
99% |
16524
3.08 KIPS |
|
|
Image Classification (Q)
|
100% |
9089
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19363
313.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
25963
420.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
17197
279.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
150845
176.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
344693
402.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
128396
150.4 IPS |
|
|
Object Detection (SP)
|
100% |
13151
1.04 KIPS |
|
|
Object Detection (HP)
|
100% |
20804
1.65 KIPS |
|
|
Object Detection (Q)
|
85% |
11102
893.7 IPS |
|
|
Face Detection (SP)
|
100% |
35547
422.4 IPS |
|
|
Face Detection (HP)
|
100% |
50560
600.8 IPS |
|
|
Face Detection (Q)
|
97% |
30009
357.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
62992
485.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
105666
814.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
50066
399.8 IPS |
|
|
Style Transfer (SP)
|
100% |
248309
319.2 IPS |
|
|
Style Transfer (HP)
|
100% |
566775
728.6 IPS |
|
|
Style Transfer (Q)
|
98% |
231342
298.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46086
1.70 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
56808
2.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32454
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3690
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
4565
6.09 KIPS |
|
|
Text Classification (Q)
|
97% |
2207
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
5378
92.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5488
94.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2150
40.3 IPS |
