Xigmatek Gemini
Geekbench AI Score
16578
Single Precision Score
25020
Half Precision Score
10920
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | saiht |
| Upload Date | October 19 2024 04:25 PM |
| 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% |
6179
1.15 KIPS |
|
|
Image Classification (HP)
|
99% |
9350
1.74 KIPS |
|
|
Image Classification (Q)
|
100% |
4465
830.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
9267
150.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
11818
191.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
7790
126.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
111930
130.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
280120
326.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
89109
104.3 IPS |
|
|
Object Detection (SP)
|
100% |
8396
666.0 IPS |
|
|
Object Detection (HP)
|
100% |
12044
955.4 IPS |
|
|
Object Detection (Q)
|
88% |
6059
485.9 IPS |
|
|
Face Detection (SP)
|
100% |
18678
221.9 IPS |
|
|
Face Detection (HP)
|
100% |
25397
301.8 IPS |
|
|
Face Detection (Q)
|
97% |
14036
167.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
43949
338.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
78212
602.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
27920
224.9 IPS |
|
|
Style Transfer (SP)
|
100% |
175908
226.1 IPS |
|
|
Style Transfer (HP)
|
100% |
402331
517.2 IPS |
|
|
Style Transfer (Q)
|
98% |
139857
180.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29924
1.10 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
37294
1.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17826
660.1 IPS |
|
|
Text Classification (SP)
|
100% |
2615
3.49 KIPS |
|
|
Text Classification (HP)
|
99% |
3331
4.45 KIPS |
|
|
Text Classification (Q)
|
97% |
1245
1.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
2580
44.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2598
44.7 IPS |
|
|
Machine Translation (Q)
|
60% |
1056
23.6 IPS |
