Gigabyte Technology Co., Ltd. To be filled by O.E.M.
Geekbench ML Score
9497
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows x86 (64-bit)
Result Information
| Upload Date | October 02 2024 02:21 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. To be filled by O.E.M. |
| Motherboard | Gigabyte Technology Co., Ltd. Z77X-UD3H |
| CPU Information | |
|---|---|
| Name | Intel Core i5-3570K |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 2 |
| L1 Data Cache | 32.0 KB x 2 |
| L2 Cache | 256 KB x 2 |
| L3 Cache | 6.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4682
876.2 IPS |
|
|
Image Classification (F16)
|
100% |
4712
881.8 IPS |
|
|
Image Classification (I8)
|
100% |
3496
654.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
6652
111.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
6648
111.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
5681
94.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
65634
79.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
65776
79.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
54046
65.4 IPS |
|
|
Object Detection (F32)
|
100% |
2907
217.0 IPS |
|
|
Object Detection (F16)
|
100% |
2892
215.9 IPS |
|
|
Object Detection (I8)
|
67% |
2634
196.6 IPS |
|
|
Face Detection (F32)
|
100% |
12637
150.3 IPS |
|
|
Face Detection (F16)
|
100% |
12554
149.3 IPS |
|
|
Face Detection (I8)
|
89% |
10073
119.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
28855
223.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
28696
222.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
22428
173.9 IPS |
|
|
Style Transfer (F32)
|
100% |
106074
139.5 IPS |
|
|
Style Transfer (F16)
|
100% |
106035
139.5 IPS |
|
|
Style Transfer (I8)
|
98% |
86539
113.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
18741
669.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18735
669.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
12521
447.2 IPS |
|
|
Text Classification (F32)
|
100% |
1689
2.43 KIPS |
|
|
Text Classification (F16)
|
100% |
1709
2.46 KIPS |
|
|
Text Classification (I8)
|
98% |
956
1.37 KIPS |
|
|
Machine Translation (F32)
|
100% |
2214
40.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2225
40.9 IPS |
|
|
Machine Translation (I8)
|
70% |
1231
22.7 IPS |
