Xigmatek Gemini
Geekbench ML Score
1537
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | saiht |
| Upload Date | July 16 2024 08:22 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Xigmatek Gemini |
| Motherboard | ASRock B460M Pro4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-10100 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 32.0 KB x 4 |
| L2 Cache | 256 KB x 4 |
| L3 Cache | 6.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
813
152.2 IPS |
|
|
Image Classification (F16)
|
100% |
854
159.7 IPS |
|
|
Image Classification (I8)
|
97% |
1291
241.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
613
10.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
601
10.0 IPS |
|
|
Image Segmentation (I8)
|
97% |
994
16.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
2140
2.59 IPS |
|
|
Pose Estimation (F16)
|
100% |
2590
3.14 IPS |
|
|
Pose Estimation (I8)
|
100% |
4008
4.85 IPS |
|
|
Object Detection (F32)
|
100% |
882
65.8 IPS |
|
|
Object Detection (F16)
|
100% |
795
59.3 IPS |
|
|
Object Detection (I8)
|
60% |
843
63.0 IPS |
|
|
Face Detection (F32)
|
100% |
1357
16.1 IPS |
|
|
Face Detection (F16)
|
100% |
1429
17.0 IPS |
|
|
Face Detection (I8)
|
87% |
2228
26.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
3413
26.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
2772
21.5 IPS |
|
|
Depth Estimation (I8)
|
74% |
5280
41.0 IPS |
|
|
Style Transfer (F32)
|
100% |
6335
8.33 IPS |
|
|
Style Transfer (F16)
|
100% |
6033
7.94 IPS |
|
|
Style Transfer (I8)
|
85% |
7725
10.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1311
46.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1273
45.5 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1966
70.2 IPS |
|
|
Text Classification (F32)
|
100% |
946
1.36 KIPS |
|
|
Text Classification (F16)
|
100% |
892
1.28 KIPS |
|
|
Text Classification (I8)
|
94% |
309
444.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1150
21.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1167
21.5 IPS |
|
|
Machine Translation (I8)
|
67% |
1286
23.7 IPS |
