Xigmatek Gemini
Geekbench ML Score
12687
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | saiht |
| Upload Date | July 16 2024 08:25 AM |
| Views | 3 |
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 | DirectML |
| Device | NVIDIA GeForce RTX 3070 Ti |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5925
1.11 KIPS |
|
|
Image Classification (F16)
|
100% |
5989
1.12 KIPS |
|
|
Image Classification (I8)
|
100% |
4429
828.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
8659
144.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
8759
146.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
7323
122.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
101175
122.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
100469
121.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
81978
99.3 IPS |
|
|
Object Detection (F32)
|
100% |
3736
278.9 IPS |
|
|
Object Detection (F16)
|
100% |
3886
290.1 IPS |
|
|
Object Detection (I8)
|
63% |
3403
254.1 IPS |
|
|
Face Detection (F32)
|
100% |
15485
184.1 IPS |
|
|
Face Detection (F16)
|
100% |
18517
220.2 IPS |
|
|
Face Detection (I8)
|
89% |
14365
170.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
38478
298.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
39171
303.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
27479
213.1 IPS |
|
|
Style Transfer (F32)
|
100% |
158474
208.5 IPS |
|
|
Style Transfer (F16)
|
100% |
157775
207.5 IPS |
|
|
Style Transfer (I8)
|
98% |
127259
167.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
28635
1.02 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
27157
969.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17501
625.0 IPS |
|
|
Text Classification (F32)
|
100% |
2310
3.32 KIPS |
|
|
Text Classification (F16)
|
100% |
2281
3.28 KIPS |
|
|
Text Classification (I8)
|
98% |
1059
1.52 KIPS |
|
|
Machine Translation (F32)
|
100% |
2509
46.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2496
45.9 IPS |
|
|
Machine Translation (I8)
|
70% |
1362
25.1 IPS |
