MECHREVO YAOSHI Series
Geekbench AI Score
5664
Single Precision Score
2204
Half Precision Score
9811
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | tobbyng |
| Upload Date | January 31 2026 02:21 AM |
| Views | 6 |
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% |
4725
878.8 IPS |
|
|
Image Classification (HP)
|
100% |
771
143.4 IPS |
|
|
Image Classification (Q)
|
99% |
8476
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2177
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1391
22.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
13938
226.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11666
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
6203
7.24 IPS |
|
|
Pose Estimation (Q)
|
94% |
39955
46.8 IPS |
|
|
Object Detection (SP)
|
100% |
4389
348.1 IPS |
|
|
Object Detection (HP)
|
100% |
1036
82.1 IPS |
|
|
Object Detection (Q)
|
86% |
10224
821.7 IPS |
|
|
Face Detection (SP)
|
100% |
12342
146.6 IPS |
|
|
Face Detection (HP)
|
100% |
2306
27.4 IPS |
|
|
Face Detection (Q)
|
97% |
11611
138.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12781
98.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3030
23.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
22097
176.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24985
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
16455
21.2 IPS |
|
|
Style Transfer (Q)
|
98% |
21186
27.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3562
131.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2783
102.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6065
224.6 IPS |
|
|
Text Classification (SP)
|
100% |
1689
2.25 KIPS |
|
|
Text Classification (HP)
|
100% |
956
1.28 KIPS |
|
|
Text Classification (Q)
|
97% |
1423
1.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
2722
46.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1286
22.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3651
73.4 IPS |
