Gigabyte Technology Co., Ltd. Z97X-Gaming 7
Geekbench ML Score
1209
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | RG22032 |
| Upload Date | March 14 2025 09:56 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 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 i7-4790S |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.20 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 | 24.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
828
155.0 IPS |
|
|
Image Classification (F16)
|
100% |
857
160.3 IPS |
|
|
Image Classification (I8)
|
97% |
898
168.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
564
9.42 IPS |
|
|
Image Segmentation (F16)
|
100% |
561
9.37 IPS |
|
|
Image Segmentation (I8)
|
97% |
879
14.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
2578
3.12 IPS |
|
|
Pose Estimation (F16)
|
100% |
2276
2.76 IPS |
|
|
Pose Estimation (I8)
|
100% |
2936
3.56 IPS |
|
|
Object Detection (F32)
|
100% |
744
55.5 IPS |
|
|
Object Detection (F16)
|
100% |
565
42.2 IPS |
|
|
Object Detection (I8)
|
60% |
686
51.2 IPS |
|
|
Face Detection (F32)
|
100% |
993
11.8 IPS |
|
|
Face Detection (F16)
|
100% |
962
11.4 IPS |
|
|
Face Detection (I8)
|
87% |
1590
18.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
2292
17.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
2645
20.5 IPS |
|
|
Depth Estimation (I8)
|
74% |
3199
24.8 IPS |
|
|
Style Transfer (F32)
|
100% |
3991
5.25 IPS |
|
|
Style Transfer (F16)
|
100% |
4489
5.90 IPS |
|
|
Style Transfer (I8)
|
85% |
5402
7.11 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1142
40.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
856
30.6 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1131
40.4 IPS |
|
|
Text Classification (F32)
|
100% |
895
1.29 KIPS |
|
|
Text Classification (F16)
|
100% |
614
882.5 IPS |
|
|
Text Classification (I8)
|
94% |
311
447.4 IPS |
|
|
Machine Translation (F32)
|
100% |
750
13.8 IPS |
|
|
Machine Translation (F16)
|
100% |
852
15.7 IPS |
|
|
Machine Translation (I8)
|
67% |
997
18.4 IPS |
