MicroElectronics G438
Geekbench AI Score
16799
Single Precision Score
26678
Half Precision Score
11033
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | August 26 2024 01:05 PM |
| Views | 21 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | MicroElectronics G438 |
| Motherboard | Micro-Star International Co., Ltd. Z490-A PRO (MS-7C75) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10700KF |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6801
1.26 KIPS |
|
|
Image Classification (HP)
|
99% |
10340
1.93 KIPS |
|
|
Image Classification (Q)
|
100% |
4827
897.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
9775
158.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
13531
219.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
8078
131.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
103871
121.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
287739
335.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
83714
98.0 IPS |
|
|
Object Detection (SP)
|
100% |
8774
696.0 IPS |
|
|
Object Detection (HP)
|
100% |
13465
1.07 KIPS |
|
|
Object Detection (Q)
|
88% |
6375
511.3 IPS |
|
|
Face Detection (SP)
|
100% |
17611
209.3 IPS |
|
|
Face Detection (HP)
|
100% |
26187
311.2 IPS |
|
|
Face Detection (Q)
|
97% |
13398
159.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
41298
318.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
77981
600.8 IPS |
|
|
Depth Estimation (Q)
|
75% |
27065
218.9 IPS |
|
|
Style Transfer (SP)
|
100% |
177241
227.8 IPS |
|
|
Style Transfer (HP)
|
100% |
414837
533.3 IPS |
|
|
Style Transfer (Q)
|
98% |
133915
172.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29103
1.07 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
40503
1.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17721
656.2 IPS |
|
|
Text Classification (SP)
|
100% |
2747
3.67 KIPS |
|
|
Text Classification (HP)
|
99% |
3455
4.61 KIPS |
|
|
Text Classification (Q)
|
97% |
1355
1.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
2868
49.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2842
49.0 IPS |
|
|
Machine Translation (Q)
|
60% |
1102
24.6 IPS |
