Micro-Star International Co., Ltd. MS-7D52
Geekbench AI Score
5165
Single Precision Score
5144
Half Precision Score
7396
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | drive5600x |
| Upload Date | September 09 2024 05:58 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D52 |
| Motherboard | Micro-Star International Co., Ltd. MPG X570S CARBON MAX WIFI (MS-7D52) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3731
693.9 IPS |
|
|
Image Classification (HP)
|
100% |
3464
644.3 IPS |
|
|
Image Classification (Q)
|
100% |
5397
1.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3069
49.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3093
50.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5595
91.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9476
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
9370
10.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
19596
23.0 IPS |
|
|
Object Detection (SP)
|
100% |
3800
301.4 IPS |
|
|
Object Detection (HP)
|
100% |
3731
295.9 IPS |
|
|
Object Detection (Q)
|
87% |
6106
489.7 IPS |
|
|
Face Detection (SP)
|
100% |
8362
99.4 IPS |
|
|
Face Detection (HP)
|
100% |
8684
103.2 IPS |
|
|
Face Detection (Q)
|
97% |
18160
216.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10120
78.0 IPS |
|
|
Depth Estimation (HP)
|
100% |
10211
78.7 IPS |
|
|
Depth Estimation (Q)
|
79% |
17124
135.8 IPS |
|
|
Style Transfer (SP)
|
100% |
26935
34.6 IPS |
|
|
Style Transfer (HP)
|
100% |
27758
35.7 IPS |
|
|
Style Transfer (Q)
|
98% |
54239
69.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5510
203.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5444
201.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
10277
380.7 IPS |
|
|
Text Classification (SP)
|
100% |
832
1.11 KIPS |
|
|
Text Classification (HP)
|
100% |
864
1.15 KIPS |
|
|
Text Classification (Q)
|
91% |
437
587.2 IPS |
|
|
Machine Translation (SP)
|
100% |
3139
54.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2992
51.5 IPS |
|
|
Machine Translation (Q)
|
90% |
1790
31.1 IPS |
