MECHREVO YAOSHI Series
Geekbench AI Score
3861
Single Precision Score
5583
Half Precision Score
2536
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | tobbyng |
| Upload Date | January 31 2026 02:36 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | MECHREVO YAOSHI Series |
| Motherboard | MECHREVO YAOSHI Series-X6AR55xY |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 275HX |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2183
406.0 IPS |
|
|
Image Classification (HP)
|
100% |
3538
658.0 IPS |
|
|
Image Classification (Q)
|
99% |
1633
304.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2343
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4213
68.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1532
24.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9467
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
15870
18.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
7683
9.00 IPS |
|
|
Object Detection (SP)
|
100% |
2143
170.0 IPS |
|
|
Object Detection (HP)
|
100% |
3834
304.1 IPS |
|
|
Object Detection (Q)
|
86% |
1698
136.5 IPS |
|
|
Face Detection (SP)
|
100% |
3659
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
6299
74.9 IPS |
|
|
Face Detection (Q)
|
97% |
2354
28.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8456
65.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
13679
105.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
6014
48.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24400
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
39441
50.7 IPS |
|
|
Style Transfer (Q)
|
98% |
17304
22.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4120
152.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6645
245.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2715
100.5 IPS |
|
|
Text Classification (SP)
|
100% |
1173
1.57 KIPS |
|
|
Text Classification (HP)
|
100% |
699
933.2 IPS |
|
|
Text Classification (Q)
|
97% |
666
892.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1945
33.5 IPS |
|
|
Machine Translation (HP)
|
96% |
2056
35.6 IPS |
|
|
Machine Translation (Q)
|
70% |
764
14.3 IPS |
