ASRock B760M Pro RS
Geekbench AI Score
5568
Single Precision Score
1757
Half Precision Score
8696
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | September 14 2025 12:58 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700KF |
| 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% |
4361
810.9 IPS |
|
|
Image Classification (HP)
|
100% |
622
115.7 IPS |
|
|
Image Classification (Q)
|
99% |
7615
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2395
38.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1181
19.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4537
73.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10510
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
4875
5.69 IPS |
|
|
Pose Estimation (Q)
|
94% |
33314
39.1 IPS |
|
|
Object Detection (SP)
|
100% |
4173
331.0 IPS |
|
|
Object Detection (HP)
|
100% |
767
60.9 IPS |
|
|
Object Detection (Q)
|
86% |
8007
643.5 IPS |
|
|
Face Detection (SP)
|
100% |
11771
139.9 IPS |
|
|
Face Detection (HP)
|
100% |
1953
23.2 IPS |
|
|
Face Detection (Q)
|
97% |
12374
147.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12821
98.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2287
17.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
18792
149.9 IPS |
|
|
Style Transfer (SP)
|
100% |
23528
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
11994
15.4 IPS |
|
|
Style Transfer (Q)
|
98% |
27662
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3771
139.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2342
86.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5677
210.2 IPS |
|
|
Text Classification (SP)
|
100% |
1786
2.38 KIPS |
|
|
Text Classification (HP)
|
100% |
861
1.15 KIPS |
|
|
Text Classification (Q)
|
97% |
1860
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2615
45.0 IPS |
|
|
Machine Translation (HP)
|
100% |
946
16.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3953
79.4 IPS |
