Micro Computer (HK) Tech Limited MS-02-Ultra
Geekbench ML Score
5464
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 02 2026 03:30 PM |
| Views | 14 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro Computer (HK) Tech Limited MS-02-Ultra |
| Motherboard | Meigao Innovation Technology (Shen Zhen) Co., Ltd ARWSA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285HX |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| L1 Instruction Cache | 64.0 KB x 12 |
| L1 Data Cache | 48.0 KB x 12 |
| L2 Cache | 3.00 MB x 3 |
| L3 Cache | 36.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2842
531.8 IPS |
|
|
Image Classification (F16)
|
100% |
2720
508.9 IPS |
|
|
Image Classification (I8)
|
99% |
4794
897.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
2134
35.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2199
36.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
3593
60.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
14824
18.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
14274
17.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
46649
56.5 IPS |
|
|
Object Detection (F32)
|
100% |
2563
191.4 IPS |
|
|
Object Detection (F16)
|
100% |
2645
197.5 IPS |
|
|
Object Detection (I8)
|
62% |
2591
193.4 IPS |
|
|
Face Detection (F32)
|
100% |
4893
58.2 IPS |
|
|
Face Detection (F16)
|
100% |
4742
56.4 IPS |
|
|
Face Detection (I8)
|
89% |
4885
58.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
11738
91.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
12589
97.6 IPS |
|
|
Depth Estimation (I8)
|
96% |
19060
147.8 IPS |
|
|
Style Transfer (F32)
|
100% |
29719
39.1 IPS |
|
|
Style Transfer (F16)
|
100% |
29937
39.4 IPS |
|
|
Style Transfer (I8)
|
98% |
20499
27.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5507
196.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5490
196.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6336
226.3 IPS |
|
|
Text Classification (F32)
|
100% |
1748
2.51 KIPS |
|
|
Text Classification (F16)
|
100% |
1701
2.44 KIPS |
|
|
Text Classification (I8)
|
98% |
1302
1.87 KIPS |
|
|
Machine Translation (F32)
|
100% |
2656
48.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2729
50.2 IPS |
|
|
Machine Translation (I8)
|
67% |
3942
72.5 IPS |
