Micro-Star International Co., Ltd. MS-7C91
Geekbench AI Score
18147
Single Precision Score
22849
Half Precision Score
15032
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 11 2025 11:32 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7600 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C91 |
| Motherboard | Micro-Star International Co., Ltd. MAG B550 TOMAHAWK MAX WIFI (MS-7C91) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8426
1.57 KIPS |
|
|
Image Classification (HP)
|
100% |
9420
1.75 KIPS |
|
|
Image Classification (Q)
|
100% |
7766
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10577
171.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9380
152.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
9764
158.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
107124
125.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
201428
235.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
93693
109.7 IPS |
|
|
Object Detection (SP)
|
100% |
6811
540.3 IPS |
|
|
Object Detection (HP)
|
99% |
10302
817.1 IPS |
|
|
Object Detection (Q)
|
87% |
6352
510.1 IPS |
|
|
Face Detection (SP)
|
100% |
22379
265.9 IPS |
|
|
Face Detection (HP)
|
100% |
27782
330.1 IPS |
|
|
Face Detection (Q)
|
97% |
19529
232.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
50250
387.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
63100
486.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
42422
340.2 IPS |
|
|
Style Transfer (SP)
|
100% |
179763
231.1 IPS |
|
|
Style Transfer (HP)
|
100% |
284644
365.9 IPS |
|
|
Style Transfer (Q)
|
98% |
153571
198.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28547
1.05 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
38227
1.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23331
863.9 IPS |
|
|
Text Classification (SP)
|
100% |
2937
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
3078
4.11 KIPS |
|
|
Text Classification (Q)
|
97% |
2139
2.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3515
60.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3603
62.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2057
38.6 IPS |
