EVGA INTERNATIONAL CO.,LTD Default string
Geekbench ML Score
11901
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 02:24 PM |
| Views | 1 |
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% |
5849
1.09 KIPS |
|
|
Image Classification (F16)
|
100% |
5826
1.09 KIPS |
|
|
Image Classification (I8)
|
100% |
4258
796.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
8283
138.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
8379
139.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
6645
111.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
107629
130.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
109912
133.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
80902
98.0 IPS |
|
|
Object Detection (F32)
|
100% |
2878
214.9 IPS |
|
|
Object Detection (F16)
|
100% |
3181
237.5 IPS |
|
|
Object Detection (I8)
|
56% |
2822
210.7 IPS |
|
|
Face Detection (F32)
|
100% |
17502
208.1 IPS |
|
|
Face Detection (F16)
|
100% |
17703
210.5 IPS |
|
|
Face Detection (I8)
|
89% |
13071
155.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
39822
308.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
40327
312.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
26278
203.8 IPS |
|
|
Style Transfer (F32)
|
100% |
179184
235.7 IPS |
|
|
Style Transfer (F16)
|
100% |
182248
239.7 IPS |
|
|
Style Transfer (I8)
|
98% |
132094
173.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
27912
996.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23364
834.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
16529
590.3 IPS |
|
|
Text Classification (F32)
|
100% |
1716
2.47 KIPS |
|
|
Text Classification (F16)
|
100% |
1492
2.14 KIPS |
|
|
Text Classification (I8)
|
98% |
889
1.28 KIPS |
|
|
Machine Translation (F32)
|
100% |
2283
42.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2258
41.6 IPS |
|
|
Machine Translation (I8)
|
70% |
1201
22.1 IPS |
