Gigabyte Technology Co., Ltd. To be filled by O.E.M.
Geekbench ML Score
527
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows x86 (64-bit)
Result Information
| Upload Date | November 19 2025 11:25 AM |
| Views | 8 |
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-D3H |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-3770 |
| 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% |
311
58.1 IPS |
|
|
Image Classification (F16)
|
100% |
287
53.6 IPS |
|
|
Image Classification (I8)
|
96% |
376
70.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
273
4.57 IPS |
|
|
Image Segmentation (F16)
|
100% |
280
4.68 IPS |
|
|
Image Segmentation (I8)
|
97% |
361
6.03 IPS |
|
|
Pose Estimation (F32)
|
100% |
671
0.81 IPS |
|
|
Pose Estimation (F16)
|
100% |
658
0.80 IPS |
|
|
Pose Estimation (I8)
|
100% |
869
1.05 IPS |
|
|
Object Detection (F32)
|
100% |
291
21.7 IPS |
|
|
Object Detection (F16)
|
100% |
262
19.6 IPS |
|
|
Object Detection (I8)
|
62% |
336
25.1 IPS |
|
|
Face Detection (F32)
|
100% |
607
7.22 IPS |
|
|
Face Detection (F16)
|
100% |
648
7.70 IPS |
|
|
Face Detection (I8)
|
87% |
850
10.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
870
6.75 IPS |
|
|
Depth Estimation (F16)
|
100% |
891
6.91 IPS |
|
|
Depth Estimation (I8)
|
74% |
1070
8.30 IPS |
|
|
Style Transfer (F32)
|
100% |
1710
2.25 IPS |
|
|
Style Transfer (F16)
|
100% |
1852
2.44 IPS |
|
|
Style Transfer (I8)
|
85% |
2374
3.12 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
398
14.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
430
15.3 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
556
19.9 IPS |
|
|
Text Classification (F32)
|
100% |
365
524.7 IPS |
|
|
Text Classification (F16)
|
100% |
349
501.3 IPS |
|
|
Text Classification (I8)
|
94% |
199
285.6 IPS |
|
|
Machine Translation (F32)
|
100% |
512
9.41 IPS |
|
|
Machine Translation (F16)
|
100% |
467
8.59 IPS |
|
|
Machine Translation (I8)
|
67% |
418
7.69 IPS |
