Micro-Star International Co., Ltd. MS-7C91
Geekbench AI Score
18032
Single Precision Score
22378
Half Precision Score
15093
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 09 2025 06:19 AM |
| Views | 7 |
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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8221
1.53 KIPS |
|
|
Image Classification (HP)
|
100% |
9685
1.80 KIPS |
|
|
Image Classification (Q)
|
100% |
7571
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10523
170.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9217
149.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
9460
153.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
110688
129.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
204273
238.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
96575
113.1 IPS |
|
|
Object Detection (SP)
|
100% |
6868
544.8 IPS |
|
|
Object Detection (HP)
|
99% |
10125
803.1 IPS |
|
|
Object Detection (Q)
|
87% |
6443
517.5 IPS |
|
|
Face Detection (SP)
|
100% |
22197
263.7 IPS |
|
|
Face Detection (HP)
|
100% |
26626
316.4 IPS |
|
|
Face Detection (Q)
|
97% |
19382
231.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
52125
401.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
61596
474.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
43065
345.4 IPS |
|
|
Style Transfer (SP)
|
100% |
183586
236.0 IPS |
|
|
Style Transfer (HP)
|
100% |
288922
371.4 IPS |
|
|
Style Transfer (Q)
|
98% |
163284
210.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28747
1.06 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
38627
1.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23667
876.4 IPS |
|
|
Text Classification (SP)
|
100% |
2773
3.70 KIPS |
|
|
Text Classification (HP)
|
100% |
2618
3.49 KIPS |
|
|
Text Classification (Q)
|
97% |
2106
2.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3265
56.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3560
61.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2027
38.0 IPS |
