ERYING
Geekbench AI Score
3982
Single Precision Score
4010
Half Precision Score
9306
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Kif_Kroker1729 |
| Upload Date | June 29 2025 11:50 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 185H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ERYING |
| Motherboard | ERYING Intel Ultra Meteor Lake Polestar B860 M-ATX D5 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2078
386.5 IPS |
|
|
Image Classification (HP)
|
100% |
2138
397.6 IPS |
|
|
Image Classification (Q)
|
100% |
5963
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3269
53.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3272
53.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
6382
103.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5510
6.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
5414
6.32 IPS |
|
|
Pose Estimation (Q)
|
96% |
17246
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
1848
146.5 IPS |
|
|
Object Detection (HP)
|
100% |
1867
148.1 IPS |
|
|
Object Detection (Q)
|
88% |
5598
448.8 IPS |
|
|
Face Detection (SP)
|
100% |
6812
80.9 IPS |
|
|
Face Detection (HP)
|
100% |
6806
80.9 IPS |
|
|
Face Detection (Q)
|
100% |
13749
163.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6593
50.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
6619
51.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
15648
121.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16059
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
16336
21.0 IPS |
|
|
Style Transfer (Q)
|
98% |
55846
72.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2990
110.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3024
111.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9716
359.8 IPS |
|
|
Text Classification (SP)
|
100% |
2238
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
2292
3.06 KIPS |
|
|
Text Classification (Q)
|
92% |
3817
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3009
51.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2983
51.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2978
51.3 IPS |
