EVGA INTERNATIONAL CO.,LTD Default string
Geekbench ML Score
12506
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 15 2024 07:23 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | EVGA INTERNATIONAL CO.,LTD Default string |
| Motherboard | EVGA INTERNATIONAL CO.,LTD 142-SS-E178 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-6700 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.40 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 | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5876
1.10 KIPS |
|
|
Image Classification (F16)
|
100% |
6469
1.21 KIPS |
|
|
Image Classification (I8)
|
100% |
4640
868.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
8678
144.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
8304
138.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
6944
116.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
112098
135.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
110119
133.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
88825
107.6 IPS |
|
|
Object Detection (F32)
|
100% |
3280
244.8 IPS |
|
|
Object Detection (F16)
|
100% |
3307
246.9 IPS |
|
|
Object Detection (I8)
|
56% |
2800
209.0 IPS |
|
|
Face Detection (F32)
|
100% |
18798
223.5 IPS |
|
|
Face Detection (F16)
|
100% |
18404
218.8 IPS |
|
|
Face Detection (I8)
|
89% |
13342
158.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
41865
324.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
40939
317.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
27628
214.3 IPS |
|
|
Style Transfer (F32)
|
100% |
191168
251.5 IPS |
|
|
Style Transfer (F16)
|
100% |
196042
257.9 IPS |
|
|
Style Transfer (I8)
|
98% |
140593
184.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
25761
920.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
25773
920.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
15160
541.4 IPS |
|
|
Text Classification (F32)
|
100% |
1894
2.72 KIPS |
|
|
Text Classification (F16)
|
100% |
1904
2.74 KIPS |
|
|
Text Classification (I8)
|
98% |
979
1.41 KIPS |
|
|
Machine Translation (F32)
|
100% |
2249
41.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2408
44.3 IPS |
|
|
Machine Translation (I8)
|
70% |
1259
23.2 IPS |
