Micro-Star International Co., Ltd. MS-7E16
Geekbench AI Score
11242
Single Precision Score
11326
Half Precision Score
24796
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 20 2024 12:38 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E16 |
| Motherboard | Micro-Star International Co., Ltd. X670E GAMING PLUS WIFI (MS-7E16) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5800
1.08 KIPS |
|
|
Image Classification (HP)
|
100% |
5894
1.10 KIPS |
|
|
Image Classification (Q)
|
100% |
12894
2.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6808
110.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6805
110.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
12916
209.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
27201
31.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
26192
30.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
106920
125.2 IPS |
|
|
Object Detection (SP)
|
100% |
6243
495.2 IPS |
|
|
Object Detection (HP)
|
100% |
6729
533.7 IPS |
|
|
Object Detection (Q)
|
88% |
14173
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
13162
156.4 IPS |
|
|
Face Detection (HP)
|
100% |
15002
178.3 IPS |
|
|
Face Detection (Q)
|
100% |
34540
410.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
20103
154.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
19540
150.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
51958
404.3 IPS |
|
|
Style Transfer (SP)
|
100% |
66827
85.9 IPS |
|
|
Style Transfer (HP)
|
100% |
67319
86.5 IPS |
|
|
Style Transfer (Q)
|
98% |
240275
309.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11833
436.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11462
423.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
29914
1.11 KIPS |
|
|
Text Classification (SP)
|
100% |
4271
5.70 KIPS |
|
|
Text Classification (HP)
|
100% |
3907
5.21 KIPS |
|
|
Text Classification (Q)
|
92% |
5031
6.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
5385
92.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5561
95.8 IPS |
|
|
Machine Translation (Q)
|
100% |
5365
92.4 IPS |
