Micro-Star International Co., Ltd. MS-7E12
Geekbench AI Score
13057
Single Precision Score
13001
Half Precision Score
30722
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | 86_crazy |
| Upload Date | January 28 2025 05:32 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E12 |
| Motherboard | Micro-Star International Co., Ltd. MAG X670E TOMAHAWK WIFI (MS-7E12) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D 8-Core Processor |
| Topology | 1 Processor, 8 Cores |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8475
1.58 KIPS |
|
|
Image Classification (HP)
|
100% |
8464
1.57 KIPS |
|
|
Image Classification (Q)
|
100% |
18111
3.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8784
142.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8565
138.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
20905
338.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
16696
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
16940
19.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
67749
79.3 IPS |
|
|
Object Detection (SP)
|
100% |
8686
689.0 IPS |
|
|
Object Detection (HP)
|
100% |
8492
673.6 IPS |
|
|
Object Detection (Q)
|
88% |
20218
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
19656
233.6 IPS |
|
|
Face Detection (HP)
|
100% |
19688
233.9 IPS |
|
|
Face Detection (Q)
|
100% |
48638
577.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
22515
173.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
22448
172.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
58448
454.8 IPS |
|
|
Style Transfer (SP)
|
100% |
47948
61.6 IPS |
|
|
Style Transfer (HP)
|
100% |
48484
62.3 IPS |
|
|
Style Transfer (Q)
|
98% |
171355
221.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10559
389.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10674
394.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31306
1.16 KIPS |
|
|
Text Classification (SP)
|
100% |
6613
8.83 KIPS |
|
|
Text Classification (HP)
|
100% |
6580
8.78 KIPS |
|
|
Text Classification (Q)
|
92% |
9218
12.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
9009
155.2 IPS |
|
|
Machine Translation (HP)
|
100% |
8793
151.5 IPS |
|
|
Machine Translation (Q)
|
100% |
10276
177.0 IPS |
