Micro-Star International Co., Ltd. MS-7C75
Geekbench AI Score
7363
Single Precision Score
7885
Half Precision Score
5266
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Birkin |
| Upload Date | September 20 2024 08:44 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Radeon RX 580 Series |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C75 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z490 GAMING PLUS (MS-7C75) |
| Power Plan | Alto rendimiento |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10500E |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2616
486.5 IPS |
|
|
Image Classification (HP)
|
100% |
3097
576.0 IPS |
|
|
Image Classification (Q)
|
100% |
2109
392.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3779
61.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4080
66.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3208
52.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
53796
62.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
56550
66.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
43074
50.5 IPS |
|
|
Object Detection (SP)
|
100% |
3198
253.7 IPS |
|
|
Object Detection (HP)
|
100% |
3464
274.8 IPS |
|
|
Object Detection (Q)
|
89% |
2640
211.4 IPS |
|
|
Face Detection (SP)
|
100% |
8545
101.5 IPS |
|
|
Face Detection (HP)
|
100% |
10456
124.2 IPS |
|
|
Face Detection (Q)
|
97% |
6439
76.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
18519
142.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
20897
161.0 IPS |
|
|
Depth Estimation (Q)
|
72% |
12997
107.0 IPS |
|
|
Style Transfer (SP)
|
100% |
83303
107.1 IPS |
|
|
Style Transfer (HP)
|
100% |
93467
120.2 IPS |
|
|
Style Transfer (Q)
|
98% |
64691
83.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11799
435.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12879
475.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7695
284.9 IPS |
|
|
Text Classification (SP)
|
100% |
1035
1.38 KIPS |
|
|
Text Classification (HP)
|
100% |
848
1.13 KIPS |
|
|
Text Classification (Q)
|
97% |
663
888.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1711
29.5 IPS |
|
|
Machine Translation (HP)
|
96% |
1683
29.1 IPS |
|
|
Machine Translation (Q)
|
60% |
773
17.4 IPS |
