ERYING
Geekbench AI Score
2632
Single Precision Score
2616
Half Precision Score
6323
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 23 2025 07:55 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ERYING |
| Motherboard | ERYING Intel Ultra Meteor Lake Polestar B860 M-ATX D5 |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1376
255.9 IPS |
|
|
Image Classification (HP)
|
100% |
1412
262.6 IPS |
|
|
Image Classification (Q)
|
100% |
4911
913.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2116
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2116
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4233
68.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3402
3.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
3371
3.93 IPS |
|
|
Pose Estimation (Q)
|
96% |
12480
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1327
105.3 IPS |
|
|
Object Detection (HP)
|
100% |
1305
103.5 IPS |
|
|
Object Detection (Q)
|
88% |
3694
296.1 IPS |
|
|
Face Detection (SP)
|
100% |
3956
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
3932
46.7 IPS |
|
|
Face Detection (Q)
|
100% |
8938
106.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4171
32.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4140
31.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
11355
88.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9818
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
9117
11.7 IPS |
|
|
Style Transfer (Q)
|
98% |
28848
37.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1837
67.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1942
71.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7181
265.9 IPS |
|
|
Text Classification (SP)
|
100% |
1943
2.59 KIPS |
|
|
Text Classification (HP)
|
100% |
1965
2.62 KIPS |
|
|
Text Classification (Q)
|
92% |
3282
4.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
2107
36.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2017
34.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1545
26.6 IPS |
