Micro-Star International Co., Ltd. MS-7C56
Geekbench AI Score
21134
Single Precision Score
23227
Half Precision Score
15719
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | gundar |
| Upload Date | September 09 2024 04:31 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6750 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C56 |
| Motherboard | Micro-Star International Co., Ltd. MPG B550 GAMING PLUS (MS-7C56) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8953
1.66 KIPS |
|
|
Image Classification (HP)
|
100% |
8280
1.54 KIPS |
|
|
Image Classification (Q)
|
100% |
7199
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14365
232.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
11150
180.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
11733
190.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
125777
146.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
199374
232.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
103395
121.1 IPS |
|
|
Object Detection (SP)
|
100% |
9135
724.6 IPS |
|
|
Object Detection (HP)
|
100% |
8159
647.2 IPS |
|
|
Object Detection (Q)
|
89% |
7319
585.8 IPS |
|
|
Face Detection (SP)
|
100% |
25590
304.1 IPS |
|
|
Face Detection (HP)
|
100% |
28191
335.0 IPS |
|
|
Face Detection (Q)
|
97% |
19158
228.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
50661
390.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
60313
464.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
37527
302.5 IPS |
|
|
Style Transfer (SP)
|
100% |
224068
288.0 IPS |
|
|
Style Transfer (HP)
|
100% |
287676
369.8 IPS |
|
|
Style Transfer (Q)
|
98% |
182972
235.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36377
1.34 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
43207
1.60 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25296
936.7 IPS |
|
|
Text Classification (SP)
|
100% |
2436
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
2949
3.94 KIPS |
|
|
Text Classification (Q)
|
97% |
1854
2.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
4674
80.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4883
84.1 IPS |
|
|
Machine Translation (Q)
|
60% |
2336
52.1 IPS |
