Micro-Star International Co., Ltd. MS-7E18
Geekbench AI Score
6124
Single Precision Score
2507
Half Precision Score
11254
Quantized Score
Geekbench AI 1.5.0 Pro for Windows AVX2
Result Information
| Upload Date | September 30 2025 01:08 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X |
| 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% |
4331
805.4 IPS |
|
|
Image Classification (HP)
|
100% |
813
151.1 IPS |
|
|
Image Classification (Q)
|
99% |
10087
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2010
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1349
21.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
14916
242.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
16925
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
11523
13.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
55108
64.6 IPS |
|
|
Object Detection (SP)
|
100% |
4797
380.5 IPS |
|
|
Object Detection (HP)
|
100% |
1049
83.2 IPS |
|
|
Object Detection (Q)
|
86% |
11917
957.8 IPS |
|
|
Face Detection (SP)
|
100% |
8630
102.5 IPS |
|
|
Face Detection (HP)
|
100% |
2243
26.7 IPS |
|
|
Face Detection (Q)
|
97% |
13632
162.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13625
105.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3605
27.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
24031
191.8 IPS |
|
|
Style Transfer (SP)
|
100% |
32330
41.6 IPS |
|
|
Style Transfer (HP)
|
100% |
23996
30.8 IPS |
|
|
Style Transfer (Q)
|
98% |
38756
50.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3799
140.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3087
114.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4408
163.2 IPS |
|
|
Text Classification (SP)
|
100% |
2376
3.17 KIPS |
|
|
Text Classification (HP)
|
100% |
1149
1.53 KIPS |
|
|
Text Classification (Q)
|
97% |
1605
2.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3062
52.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1077
18.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3675
73.8 IPS |
