Gigabyte Technology Co., Ltd. Z97X-Gaming 7
Geekbench ML Score
1513
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 19 2024 04:25 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z97X-Gaming 7 |
| Motherboard | Gigabyte Technology Co., Ltd. Z97X-Gaming 7 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4790K |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 4.00 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% |
947
177.3 IPS |
|
|
Image Classification (F16)
|
100% |
886
165.7 IPS |
|
|
Image Classification (I8)
|
97% |
1142
213.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
734
12.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
656
11.0 IPS |
|
|
Image Segmentation (I8)
|
97% |
912
15.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
2374
2.88 IPS |
|
|
Pose Estimation (F16)
|
100% |
2667
3.23 IPS |
|
|
Pose Estimation (I8)
|
100% |
3065
3.71 IPS |
|
|
Object Detection (F32)
|
100% |
815
60.9 IPS |
|
|
Object Detection (F16)
|
100% |
854
63.8 IPS |
|
|
Object Detection (I8)
|
60% |
765
57.1 IPS |
|
|
Face Detection (F32)
|
100% |
1251
14.9 IPS |
|
|
Face Detection (F16)
|
100% |
1247
14.8 IPS |
|
|
Face Detection (I8)
|
87% |
1998
23.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
3422
26.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
3242
25.1 IPS |
|
|
Depth Estimation (I8)
|
74% |
3557
27.6 IPS |
|
|
Style Transfer (F32)
|
100% |
6291
8.27 IPS |
|
|
Style Transfer (F16)
|
100% |
6352
8.36 IPS |
|
|
Style Transfer (I8)
|
85% |
6722
8.84 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1433
51.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1461
52.2 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1464
52.3 IPS |
|
|
Text Classification (F32)
|
100% |
1093
1.57 KIPS |
|
|
Text Classification (F16)
|
100% |
1098
1.58 KIPS |
|
|
Text Classification (I8)
|
94% |
335
480.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1021
18.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1056
19.4 IPS |
|
|
Machine Translation (I8)
|
67% |
1316
24.2 IPS |
