Gigabyte Technology Co., Ltd. Z97X-Gaming 7
Geekbench ML Score
314
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | RG22032 |
| Upload Date | March 14 2025 10:03 PM |
| Views | 5 |
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 | DirectML |
| Device | Intel(R) HD Graphics 4600 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
188
35.2 IPS |
|
|
Image Classification (F16)
|
100% |
188
35.2 IPS |
|
|
Image Classification (I8)
|
100% |
92
17.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
258
4.32 IPS |
|
|
Image Segmentation (F16)
|
100% |
258
4.30 IPS |
|
|
Image Segmentation (I8)
|
98% |
108
1.80 IPS |
|
|
Pose Estimation (F32)
|
100% |
954
1.16 IPS |
|
|
Pose Estimation (F16)
|
100% |
949
1.15 IPS |
|
|
Pose Estimation (I8)
|
100% |
684
0.83 IPS |
|
|
Object Detection (F32)
|
100% |
221
16.5 IPS |
|
|
Object Detection (F16)
|
100% |
196
14.6 IPS |
|
|
Object Detection (I8)
|
63% |
108
8.07 IPS |
|
|
Face Detection (F32)
|
100% |
392
4.66 IPS |
|
|
Face Detection (F16)
|
100% |
392
4.66 IPS |
|
|
Face Detection (I8)
|
87% |
118
1.40 IPS |
|
|
Depth Estimation (F32)
|
100% |
683
5.30 IPS |
|
|
Depth Estimation (F16)
|
100% |
684
5.31 IPS |
|
|
Depth Estimation (I8)
|
94% |
370
2.87 IPS |
|
|
Style Transfer (F32)
|
100% |
1559
2.05 IPS |
|
|
Style Transfer (F16)
|
100% |
1561
2.05 IPS |
|
|
Style Transfer (I8)
|
98% |
1120
1.47 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
534
19.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
537
19.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
243
8.69 IPS |
|
|
Text Classification (F32)
|
100% |
232
333.1 IPS |
|
|
Text Classification (F16)
|
100% |
231
332.6 IPS |
|
|
Text Classification (I8)
|
98% |
54
78.0 IPS |
|
|
Machine Translation (F32)
|
100% |
351
6.46 IPS |
|
|
Machine Translation (F16)
|
100% |
338
6.23 IPS |
|
|
Machine Translation (I8)
|
71% |
62
1.14 IPS |
