Micro-Star International Co., Ltd. MS-7C96
Geekbench AI Score
13804
Single Precision Score
16423
Half Precision Score
10979
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Saiyan32 |
| Upload Date | November 08 2025 02:53 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C96 |
| Motherboard | Micro-Star International Co., Ltd. A520M-A PRO (MS-7C96) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6363
1.18 KIPS |
|
|
Image Classification (HP)
|
100% |
6542
1.22 KIPS |
|
|
Image Classification (Q)
|
100% |
5593
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8385
135.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6859
111.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
7203
117.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
70627
82.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
116838
136.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
60666
71.1 IPS |
|
|
Object Detection (SP)
|
100% |
5047
400.4 IPS |
|
|
Object Detection (HP)
|
100% |
6311
500.6 IPS |
|
|
Object Detection (Q)
|
87% |
4424
355.3 IPS |
|
|
Face Detection (SP)
|
100% |
16473
195.7 IPS |
|
|
Face Detection (HP)
|
100% |
19706
234.1 IPS |
|
|
Face Detection (Q)
|
97% |
13697
163.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
34779
268.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
43594
335.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
27585
221.6 IPS |
|
|
Style Transfer (SP)
|
100% |
139751
179.7 IPS |
|
|
Style Transfer (HP)
|
100% |
191180
245.8 IPS |
|
|
Style Transfer (Q)
|
98% |
116354
150.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24069
888.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29134
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17591
651.4 IPS |
|
|
Text Classification (SP)
|
100% |
2385
3.18 KIPS |
|
|
Text Classification (HP)
|
100% |
3014
4.02 KIPS |
|
|
Text Classification (Q)
|
97% |
1704
2.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2876
49.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2993
51.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1787
33.5 IPS |
