Micro-Star International Co., Ltd. MS-7E18
Geekbench AI Score
10178
Single Precision Score
10326
Half Precision Score
25913
Quantized Score
Geekbench AI 1.3.0 Pro for Windows AVX2
Result Information
| User | SpaceAceTACP |
| Upload Date | August 31 2025 03:46 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E18 |
| Motherboard | Micro-Star International Co., Ltd. PRO B650-VC WIFI III (MS-7E18) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5582
1.04 KIPS |
|
|
Image Classification (HP)
|
100% |
5789
1.08 KIPS |
|
|
Image Classification (Q)
|
100% |
14093
2.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6912
112.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6912
112.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
20098
325.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18223
21.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18733
21.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
76045
89.0 IPS |
|
|
Object Detection (SP)
|
100% |
6202
492.0 IPS |
|
|
Object Detection (HP)
|
100% |
6699
531.4 IPS |
|
|
Object Detection (Q)
|
88% |
15440
1.24 KIPS |
|
|
Face Detection (SP)
|
100% |
12870
152.9 IPS |
|
|
Face Detection (HP)
|
100% |
11993
142.5 IPS |
|
|
Face Detection (Q)
|
100% |
38167
453.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
16735
128.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
16644
128.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
50347
391.9 IPS |
|
|
Style Transfer (SP)
|
100% |
49306
63.4 IPS |
|
|
Style Transfer (HP)
|
100% |
50968
65.5 IPS |
|
|
Style Transfer (Q)
|
98% |
192441
248.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9993
369.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10220
377.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28426
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3768
5.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3725
4.97 KIPS |
|
|
Text Classification (Q)
|
92% |
4978
6.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
6843
117.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7092
122.2 IPS |
|
|
Machine Translation (Q)
|
100% |
7847
135.2 IPS |
