Micro-Star International Co., Ltd. MS-7C91
Geekbench AI Score
15205
Single Precision Score
17721
Half Precision Score
11862
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 28 2025 08:38 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 5700 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 | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6614
1.23 KIPS |
|
|
Image Classification (HP)
|
100% |
7440
1.38 KIPS |
|
|
Image Classification (Q)
|
100% |
5824
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8179
132.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8434
136.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
7072
115.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
83704
97.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
126904
148.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
72901
85.4 IPS |
|
|
Object Detection (SP)
|
100% |
6693
530.9 IPS |
|
|
Object Detection (HP)
|
100% |
6747
535.2 IPS |
|
|
Object Detection (Q)
|
88% |
6016
482.3 IPS |
|
|
Face Detection (SP)
|
100% |
20057
238.3 IPS |
|
|
Face Detection (HP)
|
100% |
21328
253.4 IPS |
|
|
Face Detection (Q)
|
97% |
16882
201.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
36584
281.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
40198
310.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
29791
238.2 IPS |
|
|
Style Transfer (SP)
|
100% |
139950
179.9 IPS |
|
|
Style Transfer (HP)
|
100% |
206260
265.2 IPS |
|
|
Style Transfer (Q)
|
98% |
117181
151.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25326
935.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29418
1.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17104
633.3 IPS |
|
|
Text Classification (SP)
|
100% |
1836
2.45 KIPS |
|
|
Text Classification (HP)
|
100% |
2231
2.98 KIPS |
|
|
Text Classification (Q)
|
97% |
1320
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
4566
78.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4899
84.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2295
43.0 IPS |
