ASRock B860M-STX
Geekbench AI Score
4932
Single Precision Score
3589
Half Precision Score
12845
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Trinity33R |
| Upload Date | March 07 2026 07:33 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 225 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock B860M-STX |
| Motherboard | ASRock B860M-STX |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 225 |
| Topology | 1 Processor, 10 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3043
566.0 IPS |
|
|
Image Classification (HP)
|
100% |
2310
429.5 IPS |
|
|
Image Classification (Q)
|
100% |
8288
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3525
57.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1832
29.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9003
145.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5690
6.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
3856
4.50 IPS |
|
|
Pose Estimation (Q)
|
96% |
22010
25.8 IPS |
|
|
Object Detection (SP)
|
100% |
2900
230.0 IPS |
|
|
Object Detection (HP)
|
100% |
2231
176.9 IPS |
|
|
Object Detection (Q)
|
88% |
8936
716.3 IPS |
|
|
Face Detection (SP)
|
100% |
8207
97.5 IPS |
|
|
Face Detection (HP)
|
100% |
7100
84.4 IPS |
|
|
Face Detection (Q)
|
100% |
21705
257.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7542
58.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
5365
41.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
22072
171.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16845
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
11069
14.2 IPS |
|
|
Style Transfer (Q)
|
98% |
62004
80.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3598
132.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2545
94.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12679
469.6 IPS |
|
|
Text Classification (SP)
|
100% |
2994
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
2154
2.87 KIPS |
|
|
Text Classification (Q)
|
92% |
5149
6.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
4286
73.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4225
72.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4297
74.0 IPS |
