ASRock B760M-C
Geekbench AI Score
5882
Single Precision Score
1804
Half Precision Score
9851
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | kwurffell |
| Upload Date | February 03 2026 07:01 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASRock B760M-C |
| Motherboard | ASRock B760M-C |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4777
888.3 IPS |
|
|
Image Classification (HP)
|
100% |
650
121.0 IPS |
|
|
Image Classification (Q)
|
99% |
7608
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2336
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1189
19.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
13162
214.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11525
13.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
5094
5.94 IPS |
|
|
Pose Estimation (Q)
|
94% |
35302
41.4 IPS |
|
|
Object Detection (SP)
|
100% |
4555
361.3 IPS |
|
|
Object Detection (HP)
|
100% |
827
65.6 IPS |
|
|
Object Detection (Q)
|
86% |
8560
687.9 IPS |
|
|
Face Detection (SP)
|
100% |
14063
167.1 IPS |
|
|
Face Detection (HP)
|
100% |
1874
22.3 IPS |
|
|
Face Detection (Q)
|
97% |
12515
149.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13402
103.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2359
18.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
19375
154.6 IPS |
|
|
Style Transfer (SP)
|
100% |
26006
33.4 IPS |
|
|
Style Transfer (HP)
|
100% |
12525
16.1 IPS |
|
|
Style Transfer (Q)
|
98% |
29700
38.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4179
154.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2386
88.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6521
241.5 IPS |
|
|
Text Classification (SP)
|
100% |
1742
2.33 KIPS |
|
|
Text Classification (HP)
|
100% |
800
1.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1567
2.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
2373
40.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1063
18.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3866
77.7 IPS |
