Micro-Star International Co., Ltd. MS-7E61
Geekbench AI Score
2006
Single Precision Score
2198
Half Precision Score
1642
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Diagonal |
| Upload Date | December 24 2025 03:12 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E61 |
| Motherboard | Micro-Star International Co., Ltd. MAG B850M MORTAR WIFI (MS-7E61) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
674
125.4 IPS |
|
|
Image Classification (HP)
|
100% |
684
127.2 IPS |
|
|
Image Classification (Q)
|
100% |
672
124.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1173
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
645
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1022
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6676
7.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
10928
12.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
6000
7.03 IPS |
|
|
Object Detection (SP)
|
100% |
731
58.0 IPS |
|
|
Object Detection (HP)
|
100% |
712
56.5 IPS |
|
|
Object Detection (Q)
|
87% |
695
55.8 IPS |
|
|
Face Detection (SP)
|
100% |
2285
27.1 IPS |
|
|
Face Detection (HP)
|
100% |
2263
26.9 IPS |
|
|
Face Detection (Q)
|
97% |
2111
25.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3833
29.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4575
35.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
3360
27.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11335
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
16375
21.1 IPS |
|
|
Style Transfer (Q)
|
98% |
9991
12.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2836
104.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3820
141.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2140
79.3 IPS |
|
|
Text Classification (SP)
|
100% |
758
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
944
1.26 KIPS |
|
|
Text Classification (Q)
|
97% |
526
704.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1284
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1256
21.6 IPS |
|
|
Machine Translation (Q)
|
70% |
626
11.7 IPS |
