Micro-Star International Co., Ltd. MS-7C75
Geekbench AI Score
7430
Single Precision Score
7880
Half Precision Score
5279
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Birkin |
| Upload Date | August 17 2024 06:50 PM |
| Views | 11 |
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% |
2686
499.4 IPS |
|
|
Image Classification (HP)
|
100% |
3215
597.9 IPS |
|
|
Image Classification (Q)
|
100% |
2160
401.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3798
61.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4143
67.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3235
52.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
53195
62.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
56127
65.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
42525
49.8 IPS |
|
|
Object Detection (SP)
|
100% |
3208
254.4 IPS |
|
|
Object Detection (HP)
|
100% |
3454
274.0 IPS |
|
|
Object Detection (Q)
|
89% |
2633
210.8 IPS |
|
|
Face Detection (SP)
|
100% |
8519
101.2 IPS |
|
|
Face Detection (HP)
|
100% |
10475
124.5 IPS |
|
|
Face Detection (Q)
|
97% |
6448
76.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
18551
142.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
20896
161.0 IPS |
|
|
Depth Estimation (Q)
|
72% |
12923
106.4 IPS |
|
|
Style Transfer (SP)
|
100% |
84618
108.8 IPS |
|
|
Style Transfer (HP)
|
100% |
91891
118.1 IPS |
|
|
Style Transfer (Q)
|
98% |
64359
83.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11690
431.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12643
466.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7596
281.3 IPS |
|
|
Text Classification (SP)
|
100% |
1098
1.47 KIPS |
|
|
Text Classification (HP)
|
100% |
845
1.13 KIPS |
|
|
Text Classification (Q)
|
97% |
675
904.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1716
29.6 IPS |
|
|
Machine Translation (HP)
|
96% |
1665
28.8 IPS |
|
|
Machine Translation (Q)
|
60% |
782
17.6 IPS |
