MECHREVO YAOSHI Series
Geekbench AI Score
5849
Single Precision Score
2138
Half Precision Score
9801
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | tobbyng |
| Upload Date | January 31 2026 02:26 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 9 275HX |
| 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% |
4736
880.8 IPS |
|
|
Image Classification (HP)
|
100% |
771
143.3 IPS |
|
|
Image Classification (Q)
|
99% |
8216
1.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2605
42.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1403
22.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
14217
231.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11867
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
6329
7.38 IPS |
|
|
Pose Estimation (Q)
|
94% |
40076
47.0 IPS |
|
|
Object Detection (SP)
|
100% |
4224
335.0 IPS |
|
|
Object Detection (HP)
|
100% |
995
78.9 IPS |
|
|
Object Detection (Q)
|
86% |
9926
797.7 IPS |
|
|
Face Detection (SP)
|
100% |
12068
143.4 IPS |
|
|
Face Detection (HP)
|
100% |
2269
27.0 IPS |
|
|
Face Detection (Q)
|
97% |
11446
136.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12558
96.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2901
22.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
21876
174.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24660
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
15596
20.0 IPS |
|
|
Style Transfer (Q)
|
98% |
21610
27.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4187
154.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2408
88.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6000
222.2 IPS |
|
|
Text Classification (SP)
|
100% |
1694
2.26 KIPS |
|
|
Text Classification (HP)
|
100% |
898
1.20 KIPS |
|
|
Text Classification (Q)
|
97% |
1422
1.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
2859
49.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1322
22.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3813
76.6 IPS |
