Micro-Star International Co., Ltd. MS-7E12
Geekbench AI Score
8874
Single Precision Score
9060
Half Precision Score
20390
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 08 2024 07:59 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X 16-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 | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5140
955.9 IPS |
|
|
Image Classification (HP)
|
100% |
5267
979.5 IPS |
|
|
Image Classification (Q)
|
100% |
11088
2.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5113
82.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5182
84.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10924
177.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16257
19.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
16470
19.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
64176
75.1 IPS |
|
|
Object Detection (SP)
|
100% |
5364
425.5 IPS |
|
|
Object Detection (HP)
|
100% |
5447
432.0 IPS |
|
|
Object Detection (Q)
|
88% |
12702
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
13280
157.8 IPS |
|
|
Face Detection (HP)
|
100% |
13915
165.3 IPS |
|
|
Face Detection (Q)
|
100% |
34090
405.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
14877
114.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
15538
119.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
41940
326.3 IPS |
|
|
Style Transfer (SP)
|
100% |
41857
53.8 IPS |
|
|
Style Transfer (HP)
|
100% |
42468
54.6 IPS |
|
|
Style Transfer (Q)
|
98% |
151166
194.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8224
303.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8226
303.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23758
879.8 IPS |
|
|
Text Classification (SP)
|
100% |
3854
5.14 KIPS |
|
|
Text Classification (HP)
|
100% |
3904
5.21 KIPS |
|
|
Text Classification (Q)
|
92% |
4517
6.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
5044
86.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5166
89.0 IPS |
|
|
Machine Translation (Q)
|
100% |
5425
93.4 IPS |
