Micro-Star International Co., Ltd. MS-7E18
Geekbench AI Score
1888
Single Precision Score
2030
Half Precision Score
1547
Quantized Score
Geekbench AI 1.4.0 Pro for Windows AVX2
Result Information
| User | SpaceAceTACP |
| Upload Date | August 31 2025 04:01 AM |
| Views | 2 |
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% |
650
120.8 IPS |
|
|
Image Classification (HP)
|
100% |
634
118.0 IPS |
|
|
Image Classification (Q)
|
100% |
650
120.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1100
17.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
626
10.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
956
15.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6203
7.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
10297
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
5574
6.53 IPS |
|
|
Object Detection (SP)
|
100% |
700
55.5 IPS |
|
|
Object Detection (HP)
|
100% |
647
51.3 IPS |
|
|
Object Detection (Q)
|
87% |
659
52.9 IPS |
|
|
Face Detection (SP)
|
100% |
2035
24.2 IPS |
|
|
Face Detection (HP)
|
100% |
2017
24.0 IPS |
|
|
Face Detection (Q)
|
97% |
1886
22.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3594
27.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4305
33.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
3161
25.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10998
14.1 IPS |
|
|
Style Transfer (HP)
|
100% |
16125
20.7 IPS |
|
|
Style Transfer (Q)
|
98% |
9609
12.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2772
102.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3699
136.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2044
75.7 IPS |
|
|
Text Classification (SP)
|
100% |
727
970.5 IPS |
|
|
Text Classification (HP)
|
100% |
779
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
504
675.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1147
19.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1118
19.3 IPS |
|
|
Machine Translation (Q)
|
70% |
583
10.9 IPS |
