Gigabyte Technology Co., Ltd. To be filled by O.E.M.
Geekbench ML Score
647
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows x86 (64-bit)
Result Information
| Upload Date | August 17 2024 09:43 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
425
79.5 IPS |
|
|
Image Classification (F16)
|
100% |
396
74.1 IPS |
|
|
Image Classification (I8)
|
96% |
500
93.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
397
6.64 IPS |
|
|
Image Segmentation (F16)
|
100% |
386
6.45 IPS |
|
|
Image Segmentation (I8)
|
97% |
448
7.49 IPS |
|
|
Pose Estimation (F32)
|
100% |
1073
1.30 IPS |
|
|
Pose Estimation (F16)
|
100% |
868
1.05 IPS |
|
|
Pose Estimation (I8)
|
100% |
1062
1.29 IPS |
|
|
Object Detection (F32)
|
100% |
299
22.3 IPS |
|
|
Object Detection (F16)
|
100% |
441
32.9 IPS |
|
|
Object Detection (I8)
|
62% |
391
29.2 IPS |
|
|
Face Detection (F32)
|
100% |
809
9.62 IPS |
|
|
Face Detection (F16)
|
100% |
882
10.5 IPS |
|
|
Face Detection (I8)
|
87% |
975
11.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
1166
9.04 IPS |
|
|
Depth Estimation (F16)
|
100% |
947
7.34 IPS |
|
|
Depth Estimation (I8)
|
74% |
1382
10.7 IPS |
|
|
Style Transfer (F32)
|
100% |
2330
3.07 IPS |
|
|
Style Transfer (F16)
|
100% |
2315
3.04 IPS |
|
|
Style Transfer (I8)
|
85% |
2412
3.17 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
523
18.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
456
16.3 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
559
20.0 IPS |
|
|
Text Classification (F32)
|
100% |
347
498.7 IPS |
|
|
Text Classification (F16)
|
100% |
427
613.1 IPS |
|
|
Text Classification (I8)
|
94% |
190
272.9 IPS |
|
|
Machine Translation (F32)
|
100% |
554
10.2 IPS |
|
|
Machine Translation (F16)
|
100% |
571
10.5 IPS |
|
|
Machine Translation (I8)
|
67% |
459
8.44 IPS |
