Micro-Star International Co., Ltd. MS-7C75
Geekbench AI Score
25799
Single Precision Score
28140
Half Precision Score
19584
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Meinlsync |
| Upload Date | August 28 2024 03:58 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6800 XT |
| 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 | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-11600K |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 3.91 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10242
1.90 KIPS |
|
|
Image Classification (HP)
|
100% |
9788
1.82 KIPS |
|
|
Image Classification (Q)
|
100% |
7759
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15533
251.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
13293
215.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
13562
220.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
189507
221.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
288092
336.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
162501
190.4 IPS |
|
|
Object Detection (SP)
|
100% |
11345
899.9 IPS |
|
|
Object Detection (HP)
|
100% |
11567
917.5 IPS |
|
|
Object Detection (Q)
|
89% |
10000
800.8 IPS |
|
|
Face Detection (SP)
|
100% |
29979
356.2 IPS |
|
|
Face Detection (HP)
|
100% |
32130
381.8 IPS |
|
|
Face Detection (Q)
|
97% |
23629
281.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
62460
481.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
67724
521.8 IPS |
|
|
Depth Estimation (Q)
|
73% |
48194
393.5 IPS |
|
|
Style Transfer (SP)
|
100% |
316303
406.6 IPS |
|
|
Style Transfer (HP)
|
100% |
417482
536.7 IPS |
|
|
Style Transfer (Q)
|
98% |
260426
335.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39958
1.48 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
46322
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28817
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3893
5.20 KIPS |
|
|
Text Classification (HP)
|
100% |
4025
5.37 KIPS |
|
|
Text Classification (Q)
|
97% |
2584
3.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
4146
71.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4240
73.0 IPS |
|
|
Machine Translation (Q)
|
60% |
2198
49.0 IPS |
