ERYING
Geekbench AI Score
4921
Single Precision Score
8720
Half Precision Score
14288
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 23 2025 08:00 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
3804
707.4 IPS |
|
|
Image Classification (HP)
|
100% |
6455
1.20 KIPS |
|
|
Image Classification (Q)
|
100% |
7810
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2010
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6154
99.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10644
172.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15069
17.6 IPS |
|
|
Pose Estimation (HP)
|
99% |
15856
18.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
58345
68.3 IPS |
|
|
Object Detection (SP)
|
100% |
3380
268.1 IPS |
|
|
Object Detection (HP)
|
100% |
6393
507.1 IPS |
|
|
Object Detection (Q)
|
88% |
10304
825.7 IPS |
|
|
Face Detection (SP)
|
100% |
3974
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
9039
107.4 IPS |
|
|
Face Detection (Q)
|
100% |
18240
216.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11051
85.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
22283
172.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
28700
223.1 IPS |
|
|
Style Transfer (SP)
|
100% |
34304
44.1 IPS |
|
|
Style Transfer (HP)
|
100% |
48342
62.1 IPS |
|
|
Style Transfer (Q)
|
98% |
129066
166.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6407
236.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11155
411.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17417
645.0 IPS |
|
|
Text Classification (SP)
|
71% |
1375
1.99 KIPS |
|
|
Text Classification (HP)
|
71% |
2328
3.37 KIPS |
|
|
Text Classification (Q)
|
92% |
2433
3.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1612
27.8 IPS |
|
|
Machine Translation (HP)
|
96% |
2497
43.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2479
42.7 IPS |
