MECHREVO YAOSHI Series
Geekbench AI Score
25304
Single Precision Score
42090
Half Precision Score
19743
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | tobbyng |
| Upload Date | January 31 2026 07:35 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 Laptop GPU |
| 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% |
10661
1.98 KIPS |
|
|
Image Classification (HP)
|
100% |
15755
2.93 KIPS |
|
|
Image Classification (Q)
|
100% |
8722
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18728
303.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
26405
428.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
16746
272.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
150781
175.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
416664
486.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
135306
158.5 IPS |
|
|
Object Detection (SP)
|
100% |
12404
983.9 IPS |
|
|
Object Detection (HP)
|
100% |
19818
1.57 KIPS |
|
|
Object Detection (Q)
|
86% |
10949
879.7 IPS |
|
|
Face Detection (SP)
|
100% |
35049
416.5 IPS |
|
|
Face Detection (HP)
|
100% |
46250
549.5 IPS |
|
|
Face Detection (Q)
|
97% |
28946
345.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
65360
503.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
119484
920.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
51087
408.1 IPS |
|
|
Style Transfer (SP)
|
100% |
234040
300.9 IPS |
|
|
Style Transfer (HP)
|
100% |
780130
1.00 KIPS |
|
|
Style Transfer (Q)
|
98% |
204325
263.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36004
1.33 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
63847
2.36 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29739
1.10 KIPS |
|
|
Text Classification (SP)
|
100% |
2884
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
3553
4.74 KIPS |
|
|
Text Classification (Q)
|
97% |
1924
2.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
5178
89.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5195
89.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2406
45.1 IPS |
