Xigmatek Gemini
Geekbench AI Score
1435
Single Precision Score
799
Half Precision Score
1643
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | saiht |
| Upload Date | September 30 2024 11:22 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-10100 |
| 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 |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
783
145.7 IPS |
|
|
Image Classification (HP)
|
100% |
323
60.1 IPS |
|
|
Image Classification (Q)
|
96% |
1307
244.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
622
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
486
7.89 IPS |
|
|
Image Segmentation (Q)
|
97% |
1029
16.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2435
2.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
2016
2.35 IPS |
|
|
Pose Estimation (Q)
|
87% |
4522
5.34 IPS |
|
|
Object Detection (SP)
|
100% |
893
70.8 IPS |
|
|
Object Detection (HP)
|
100% |
388
30.8 IPS |
|
|
Object Detection (Q)
|
86% |
975
78.4 IPS |
|
|
Face Detection (SP)
|
100% |
1389
16.5 IPS |
|
|
Face Detection (HP)
|
100% |
835
9.93 IPS |
|
|
Face Detection (Q)
|
96% |
2162
25.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2819
21.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1199
9.24 IPS |
|
|
Depth Estimation (Q)
|
77% |
2656
21.3 IPS |
|
|
Style Transfer (SP)
|
100% |
6133
7.88 IPS |
|
|
Style Transfer (HP)
|
100% |
4706
6.05 IPS |
|
|
Style Transfer (Q)
|
87% |
7947
10.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1142
42.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
935
34.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1554
57.6 IPS |
|
|
Text Classification (SP)
|
100% |
1062
1.42 KIPS |
|
|
Text Classification (HP)
|
100% |
465
621.0 IPS |
|
|
Text Classification (Q)
|
97% |
327
437.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1206
20.8 IPS |
|
|
Machine Translation (HP)
|
100% |
422
7.27 IPS |
|
|
Machine Translation (Q)
|
60% |
1045
23.3 IPS |
