Micro-Star International Co., Ltd. MS-7E18
Geekbench AI Score
1883
Single Precision Score
2024
Half Precision Score
1537
Quantized Score
Geekbench AI 1.3.0 Pro for Windows AVX2
Result Information
| User | SpaceAceTACP |
| Upload Date | August 31 2025 03:43 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| 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% |
644
119.8 IPS |
|
|
Image Classification (HP)
|
100% |
627
116.6 IPS |
|
|
Image Classification (Q)
|
100% |
642
119.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1090
17.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
624
10.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
954
15.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6205
7.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
10302
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
5575
6.53 IPS |
|
|
Object Detection (SP)
|
100% |
692
54.9 IPS |
|
|
Object Detection (HP)
|
100% |
645
51.1 IPS |
|
|
Object Detection (Q)
|
87% |
653
52.5 IPS |
|
|
Face Detection (SP)
|
100% |
2026
24.1 IPS |
|
|
Face Detection (HP)
|
100% |
2025
24.1 IPS |
|
|
Face Detection (Q)
|
97% |
1879
22.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3570
27.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4258
32.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
3102
24.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10956
14.1 IPS |
|
|
Style Transfer (HP)
|
100% |
15957
20.5 IPS |
|
|
Style Transfer (Q)
|
98% |
9607
12.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2777
102.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3679
135.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2061
76.3 IPS |
|
|
Text Classification (SP)
|
100% |
735
980.7 IPS |
|
|
Text Classification (HP)
|
100% |
787
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
503
673.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1153
19.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1116
19.2 IPS |
|
|
Machine Translation (Q)
|
70% |
569
10.7 IPS |
