MECHREVO YAOSHI Series
Geekbench AI Score
5852
Single Precision Score
2220
Half Precision Score
9846
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | tobbyng |
| Upload Date | January 31 2026 02:23 AM |
| Views | 7 |
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% |
4779
888.7 IPS |
|
|
Image Classification (HP)
|
100% |
774
144.0 IPS |
|
|
Image Classification (Q)
|
99% |
8580
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2100
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1416
23.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
14149
230.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11824
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
5909
6.89 IPS |
|
|
Pose Estimation (Q)
|
94% |
39785
46.6 IPS |
|
|
Object Detection (SP)
|
100% |
4327
343.3 IPS |
|
|
Object Detection (HP)
|
100% |
1027
81.4 IPS |
|
|
Object Detection (Q)
|
86% |
10115
812.9 IPS |
|
|
Face Detection (SP)
|
100% |
12546
149.1 IPS |
|
|
Face Detection (HP)
|
100% |
2329
27.7 IPS |
|
|
Face Detection (Q)
|
97% |
11572
138.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13019
100.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3020
23.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
22386
178.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25486
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
17321
22.3 IPS |
|
|
Style Transfer (Q)
|
98% |
20701
26.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4231
156.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2879
106.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6091
225.6 IPS |
|
|
Text Classification (SP)
|
100% |
1762
2.35 KIPS |
|
|
Text Classification (HP)
|
100% |
948
1.27 KIPS |
|
|
Text Classification (Q)
|
97% |
1411
1.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
2960
51.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1317
22.7 IPS |
|
|
Machine Translation (Q)
|
65% |
3804
76.4 IPS |
