Gigabyte Technology Co., Ltd. To be filled by O.E.M.
Geekbench ML Score
7182
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows x86 (64-bit)
Result Information
| Upload Date | August 17 2024 09:57 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. To be filled by O.E.M. |
| Motherboard | Gigabyte Technology Co., Ltd. Z77X-UD5H |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-3770K |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 3.90 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2060 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3916
732.8 IPS |
|
|
Image Classification (F16)
|
100% |
3905
730.7 IPS |
|
|
Image Classification (I8)
|
100% |
3121
583.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
4506
75.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
4539
75.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
4255
71.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
38994
47.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
38853
47.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
36220
43.9 IPS |
|
|
Object Detection (F32)
|
100% |
2543
189.8 IPS |
|
|
Object Detection (F16)
|
100% |
2525
188.5 IPS |
|
|
Object Detection (I8)
|
67% |
2120
158.3 IPS |
|
|
Face Detection (F32)
|
100% |
10502
124.9 IPS |
|
|
Face Detection (F16)
|
100% |
10516
125.0 IPS |
|
|
Face Detection (I8)
|
89% |
8430
100.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
19963
154.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
22131
171.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
19255
149.3 IPS |
|
|
Style Transfer (F32)
|
100% |
68460
90.1 IPS |
|
|
Style Transfer (F16)
|
100% |
68571
90.2 IPS |
|
|
Style Transfer (I8)
|
98% |
59040
77.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
12568
448.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
12417
443.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7953
284.0 IPS |
|
|
Text Classification (F32)
|
100% |
1102
1.58 KIPS |
|
|
Text Classification (F16)
|
100% |
1385
1.99 KIPS |
|
|
Text Classification (I8)
|
98% |
888
1.28 KIPS |
|
|
Machine Translation (F32)
|
100% |
1937
35.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1943
35.8 IPS |
|
|
Machine Translation (I8)
|
70% |
1131
20.8 IPS |
