MinisForum MS-01 CPU Micro Computer (HK) Tech Limited Venus Series
Geekbench ML Score
1595
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| User | oleker |
| Upload Date | July 25 2024 11:46 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | Micro Computer (HK) Tech Limited Venus Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd AHWSA |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 4.90 GHz |
| Cluster 1 | 0 Cores |
| L1 Instruction Cache | 64.0 KB x 10 |
| L1 Data Cache | 32.0 KB x 10 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 62.53 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1415
264.9 IPS |
|
|
Image Classification (F16)
|
100% |
1396
261.2 IPS |
|
|
Image Classification (I8)
|
99% |
850
159.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1803
30.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1824
30.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
795
13.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
2322
2.81 IPS |
|
|
Pose Estimation (F16)
|
100% |
2309
2.80 IPS |
|
|
Pose Estimation (I8)
|
100% |
2392
2.90 IPS |
|
|
Object Detection (F32)
|
100% |
1473
110.0 IPS |
|
|
Object Detection (F16)
|
100% |
1528
114.1 IPS |
|
|
Object Detection (I8)
|
65% |
982
73.3 IPS |
|
|
Face Detection (F32)
|
100% |
2382
28.3 IPS |
|
|
Face Detection (F16)
|
100% |
2375
28.2 IPS |
|
|
Face Detection (I8)
|
87% |
1824
21.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
2182
16.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
2158
16.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
1802
14.0 IPS |
|
|
Style Transfer (F32)
|
100% |
2712
3.57 IPS |
|
|
Style Transfer (F16)
|
100% |
2702
3.55 IPS |
|
|
Style Transfer (I8)
|
98% |
4273
5.62 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1727
61.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1713
61.2 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1262
45.1 IPS |
|
|
Text Classification (F32)
|
100% |
1085
1.56 KIPS |
|
|
Text Classification (F16)
|
100% |
1153
1.66 KIPS |
|
|
Text Classification (I8)
|
92% |
341
489.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1905
35.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1934
35.6 IPS |
|
|
Machine Translation (I8)
|
62% |
607
11.2 IPS |
