Gigabyte Technology Co., Ltd. To be filled by O.E.M.
Geekbench ML Score
9251
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows x86 (64-bit)
Result Information
| Upload Date | October 02 2024 02:10 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% |
5055
945.9 IPS |
|
|
Image Classification (F16)
|
100% |
4959
928.0 IPS |
|
|
Image Classification (I8)
|
100% |
3444
644.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
5985
100.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
5811
97.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
5497
91.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
63936
77.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
65217
79.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
53196
64.4 IPS |
|
|
Object Detection (F32)
|
100% |
2626
196.0 IPS |
|
|
Object Detection (F16)
|
100% |
2613
195.0 IPS |
|
|
Object Detection (I8)
|
67% |
2511
187.4 IPS |
|
|
Face Detection (F32)
|
100% |
11315
134.5 IPS |
|
|
Face Detection (F16)
|
100% |
11770
140.0 IPS |
|
|
Face Detection (I8)
|
89% |
9729
115.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
28802
223.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
28728
222.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
21586
167.4 IPS |
|
|
Style Transfer (F32)
|
100% |
104649
137.7 IPS |
|
|
Style Transfer (F16)
|
100% |
105353
138.6 IPS |
|
|
Style Transfer (I8)
|
98% |
85308
112.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
18302
653.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18818
672.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
12506
446.6 IPS |
|
|
Text Classification (F32)
|
100% |
1737
2.50 KIPS |
|
|
Text Classification (F16)
|
100% |
1699
2.44 KIPS |
|
|
Text Classification (I8)
|
98% |
985
1.42 KIPS |
|
|
Machine Translation (F32)
|
100% |
2176
40.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2140
39.4 IPS |
|
|
Machine Translation (I8)
|
70% |
1210
22.3 IPS |
