Micro-Star International Co., Ltd. MS-7E18
Geekbench AI Score
6377
Single Precision Score
2451
Half Precision Score
11129
Quantized Score
Geekbench AI 1.3.0 Pro for Windows AVX2
Result Information
| User | SpaceAceTACP |
| Upload Date | August 31 2025 03:35 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
4413
820.7 IPS |
|
|
Image Classification (HP)
|
100% |
787
146.4 IPS |
|
|
Image Classification (Q)
|
99% |
9760
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2248
36.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1290
20.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5032
81.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17960
21.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
12014
14.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
55979
65.6 IPS |
|
|
Object Detection (SP)
|
100% |
4698
372.6 IPS |
|
|
Object Detection (HP)
|
100% |
977
77.5 IPS |
|
|
Object Detection (Q)
|
86% |
12465
1.00 KIPS |
|
|
Face Detection (SP)
|
100% |
7866
93.5 IPS |
|
|
Face Detection (HP)
|
100% |
2239
26.6 IPS |
|
|
Face Detection (Q)
|
97% |
13697
163.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
14197
109.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3728
28.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
25516
203.6 IPS |
|
|
Style Transfer (SP)
|
100% |
34163
43.9 IPS |
|
|
Style Transfer (HP)
|
100% |
26136
33.6 IPS |
|
|
Style Transfer (Q)
|
98% |
38392
49.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3916
144.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3229
119.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5667
209.9 IPS |
|
|
Text Classification (SP)
|
100% |
2154
2.87 KIPS |
|
|
Text Classification (HP)
|
100% |
922
1.23 KIPS |
|
|
Text Classification (Q)
|
97% |
2015
2.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
4129
71.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1013
17.4 IPS |
|
|
Machine Translation (Q)
|
65% |
5555
111.6 IPS |
