MECHREVO YAOSHI Series
Geekbench AI Score
3869
Single Precision Score
5553
Half Precision Score
2550
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | tobbyng |
| Upload Date | January 31 2026 02:37 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% |
2219
412.7 IPS |
|
|
Image Classification (HP)
|
100% |
3525
655.6 IPS |
|
|
Image Classification (Q)
|
99% |
1657
309.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2389
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4304
69.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1587
25.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9492
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
15783
18.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
7745
9.07 IPS |
|
|
Object Detection (SP)
|
100% |
2147
170.3 IPS |
|
|
Object Detection (HP)
|
100% |
3833
304.1 IPS |
|
|
Object Detection (Q)
|
86% |
1582
127.2 IPS |
|
|
Face Detection (SP)
|
100% |
3550
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
6249
74.2 IPS |
|
|
Face Detection (Q)
|
97% |
2361
28.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8438
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
13257
102.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
5974
47.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24826
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
40123
51.6 IPS |
|
|
Style Transfer (Q)
|
98% |
17644
22.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4315
159.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6570
242.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2786
103.2 IPS |
|
|
Text Classification (SP)
|
100% |
1143
1.53 KIPS |
|
|
Text Classification (HP)
|
100% |
697
930.2 IPS |
|
|
Text Classification (Q)
|
97% |
674
903.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1901
32.7 IPS |
|
|
Machine Translation (HP)
|
96% |
1998
34.6 IPS |
|
|
Machine Translation (Q)
|
70% |
773
14.5 IPS |
