Micro-Star International Co., Ltd. MS-7C84
Geekbench AI Score
5515
Single Precision Score
5472
Half Precision Score
7789
Quantized Score
Geekbench AI 1.2.0 Corporate for Windows AVX2
Result Information
| Upload Date | January 05 2025 07:43 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5800X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C84 |
| Motherboard | Micro-Star International Co., Ltd. MAG X570 TOMAHAWK WIFI (MS-7C84) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3528
656.1 IPS |
|
|
Image Classification (HP)
|
100% |
3581
665.9 IPS |
|
|
Image Classification (Q)
|
100% |
5198
966.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3886
63.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3600
58.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
5533
90.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6588
7.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
6725
7.85 IPS |
|
|
Pose Estimation (Q)
|
94% |
13764
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
3256
258.3 IPS |
|
|
Object Detection (HP)
|
100% |
3295
261.4 IPS |
|
|
Object Detection (Q)
|
87% |
5174
414.9 IPS |
|
|
Face Detection (SP)
|
100% |
7875
93.6 IPS |
|
|
Face Detection (HP)
|
100% |
7728
91.8 IPS |
|
|
Face Detection (Q)
|
97% |
15192
181.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8606
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8515
65.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
14725
116.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20161
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
19757
25.4 IPS |
|
|
Style Transfer (Q)
|
98% |
39114
50.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4251
157.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4269
157.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7972
295.3 IPS |
|
|
Text Classification (SP)
|
100% |
3370
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
3367
4.49 KIPS |
|
|
Text Classification (Q)
|
91% |
1267
1.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
4525
77.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4510
77.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4544
78.3 IPS |
