Gigabyte Technology Co., Ltd. Z390 GAMING SLI
Geekbench ML Score
2128
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 10:16 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z390 GAMING SLI |
| Motherboard | Gigabyte Technology Co., Ltd. Z390 GAMING SLI-CF |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8700 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 256 KB x 6 |
| L3 Cache | 12.0 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% |
1206
225.7 IPS |
|
|
Image Classification (F16)
|
100% |
1155
216.2 IPS |
|
|
Image Classification (I8)
|
97% |
1913
357.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
836
14.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
823
13.7 IPS |
|
|
Image Segmentation (I8)
|
97% |
1632
27.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
3266
3.95 IPS |
|
|
Pose Estimation (F16)
|
100% |
3895
4.72 IPS |
|
|
Pose Estimation (I8)
|
100% |
8016
9.71 IPS |
|
|
Object Detection (F32)
|
100% |
1096
81.8 IPS |
|
|
Object Detection (F16)
|
100% |
1094
81.7 IPS |
|
|
Object Detection (I8)
|
60% |
1010
75.4 IPS |
|
|
Face Detection (F32)
|
100% |
1491
17.7 IPS |
|
|
Face Detection (F16)
|
100% |
1514
18.0 IPS |
|
|
Face Detection (I8)
|
87% |
2646
31.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
3804
29.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
4146
32.1 IPS |
|
|
Depth Estimation (I8)
|
74% |
6624
51.4 IPS |
|
|
Style Transfer (F32)
|
100% |
9244
12.2 IPS |
|
|
Style Transfer (F16)
|
100% |
8918
11.7 IPS |
|
|
Style Transfer (I8)
|
85% |
11147
14.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1714
61.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1764
63.0 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2515
89.8 IPS |
|
|
Text Classification (F32)
|
100% |
1285
1.85 KIPS |
|
|
Text Classification (F16)
|
100% |
1046
1.50 KIPS |
|
|
Text Classification (I8)
|
94% |
927
1.33 KIPS |
|
|
Machine Translation (F32)
|
100% |
1386
25.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1431
26.3 IPS |
|
|
Machine Translation (I8)
|
67% |
1746
32.1 IPS |
