Xigmatek Gemini
Geekbench AI Score
16458
Single Precision Score
24806
Half Precision Score
10928
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | saiht |
| Upload Date | September 30 2024 11:10 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 Ti |
| 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% |
6365
1.18 KIPS |
|
|
Image Classification (HP)
|
99% |
9906
1.85 KIPS |
|
|
Image Classification (Q)
|
100% |
4516
839.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
9239
149.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
11637
188.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
7736
125.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
111204
129.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
264744
308.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
90123
105.5 IPS |
|
|
Object Detection (SP)
|
100% |
8214
651.5 IPS |
|
|
Object Detection (HP)
|
100% |
11969
949.4 IPS |
|
|
Object Detection (Q)
|
88% |
5664
454.2 IPS |
|
|
Face Detection (SP)
|
100% |
18359
218.1 IPS |
|
|
Face Detection (HP)
|
100% |
24999
297.0 IPS |
|
|
Face Detection (Q)
|
97% |
14065
167.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
40892
315.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
74670
575.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
28384
228.5 IPS |
|
|
Style Transfer (SP)
|
100% |
174114
223.8 IPS |
|
|
Style Transfer (HP)
|
100% |
392946
505.1 IPS |
|
|
Style Transfer (Q)
|
98% |
138015
178.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29949
1.11 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
37894
1.40 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18228
675.0 IPS |
|
|
Text Classification (SP)
|
100% |
2690
3.59 KIPS |
|
|
Text Classification (HP)
|
99% |
3353
4.47 KIPS |
|
|
Text Classification (Q)
|
97% |
1270
1.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
2578
44.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2592
44.6 IPS |
|
|
Machine Translation (Q)
|
60% |
1068
23.8 IPS |
