Winter Wind PC (2021) Micro-Star International Co., Ltd. MS-7C94
Geekbench AI Score
31478
Single Precision Score
34575
Half Precision Score
23395
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | MidniteMarv |
| Upload Date | June 01 2025 08:40 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6900 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C94 |
| Motherboard | Micro-Star International Co., Ltd. MAG B550M MORTAR WIFI (MS-7C94) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13236
2.46 KIPS |
|
|
Image Classification (HP)
|
100% |
12861
2.39 KIPS |
|
|
Image Classification (Q)
|
99% |
10588
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21792
353.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
17334
281.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
17419
283.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
207102
241.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
316398
369.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
170015
199.2 IPS |
|
|
Object Detection (SP)
|
100% |
14222
1.13 KIPS |
|
|
Object Detection (HP)
|
100% |
14730
1.17 KIPS |
|
|
Object Detection (Q)
|
87% |
11782
946.3 IPS |
|
|
Face Detection (SP)
|
100% |
39892
474.0 IPS |
|
|
Face Detection (HP)
|
100% |
43770
520.1 IPS |
|
|
Face Detection (Q)
|
97% |
31964
381.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
72798
560.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
78773
606.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
53975
433.4 IPS |
|
|
Style Transfer (SP)
|
100% |
363548
467.3 IPS |
|
|
Style Transfer (HP)
|
100% |
489445
629.2 IPS |
|
|
Style Transfer (Q)
|
98% |
287422
370.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42263
1.56 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
49806
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30478
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
4210
5.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4426
5.91 KIPS |
|
|
Text Classification (Q)
|
97% |
2696
3.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
5986
103.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6317
108.8 IPS |
|
|
Machine Translation (Q)
|
70% |
3263
61.2 IPS |
