Micro-Star International Co., Ltd. MS-7E28
Geekbench AI Score
6190
Single Precision Score
6277
Half Precision Score
15039
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | berkctezc |
| Upload Date | February 08 2025 06:50 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E28 |
| Motherboard | Micro-Star International Co., Ltd. PRO B650M-B (MS-7E28) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3569
663.7 IPS |
|
|
Image Classification (HP)
|
100% |
3566
663.1 IPS |
|
|
Image Classification (Q)
|
100% |
8576
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4321
70.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4127
66.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
9741
157.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8751
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
9201
10.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
34266
40.1 IPS |
|
|
Object Detection (SP)
|
100% |
3460
274.5 IPS |
|
|
Object Detection (HP)
|
100% |
3399
269.6 IPS |
|
|
Object Detection (Q)
|
88% |
9085
728.2 IPS |
|
|
Face Detection (SP)
|
100% |
9260
110.0 IPS |
|
|
Face Detection (HP)
|
100% |
9976
118.5 IPS |
|
|
Face Detection (Q)
|
100% |
23706
281.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9070
69.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9915
76.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
28854
224.5 IPS |
|
|
Style Transfer (SP)
|
100% |
26900
34.6 IPS |
|
|
Style Transfer (HP)
|
100% |
27476
35.3 IPS |
|
|
Style Transfer (Q)
|
98% |
101258
130.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5949
219.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5819
214.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17081
632.6 IPS |
|
|
Text Classification (SP)
|
100% |
3172
4.23 KIPS |
|
|
Text Classification (HP)
|
100% |
3066
4.09 KIPS |
|
|
Text Classification (Q)
|
92% |
3783
5.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
4154
71.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4256
73.3 IPS |
|
|
Machine Translation (Q)
|
100% |
5088
87.6 IPS |
