Micro-Star International Co., Ltd. MS-7C75
Geekbench AI Score
16373
Single Precision Score
19539
Half Precision Score
11811
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 25 2025 10:30 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6600 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C75 |
| Motherboard | Micro-Star International Co., Ltd. Z490-A PRO (MS-7C75) |
| Power Plan | Nihai Performans |
| CPU Information | |
|---|---|
| Name | Intel Core i5-11600K |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 3.91 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7235
1.35 KIPS |
|
|
Image Classification (HP)
|
100% |
7964
1.48 KIPS |
|
|
Image Classification (Q)
|
100% |
4846
901.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
11282
182.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9150
148.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
9312
151.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
87425
102.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
139258
162.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
73013
85.6 IPS |
|
|
Object Detection (SP)
|
100% |
5734
454.8 IPS |
|
|
Object Detection (HP)
|
100% |
7199
571.0 IPS |
|
|
Object Detection (Q)
|
87% |
5145
413.2 IPS |
|
|
Face Detection (SP)
|
100% |
20927
248.7 IPS |
|
|
Face Detection (HP)
|
100% |
25734
305.8 IPS |
|
|
Face Detection (Q)
|
97% |
16865
201.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
38100
293.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
46590
358.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
29967
240.6 IPS |
|
|
Style Transfer (SP)
|
100% |
165141
212.3 IPS |
|
|
Style Transfer (HP)
|
100% |
216095
277.8 IPS |
|
|
Style Transfer (Q)
|
98% |
137242
177.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25399
937.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32169
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15962
591.0 IPS |
|
|
Text Classification (SP)
|
100% |
2725
3.64 KIPS |
|
|
Text Classification (HP)
|
100% |
3366
4.49 KIPS |
|
|
Text Classification (Q)
|
97% |
1305
1.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
3713
64.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3959
68.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2157
40.5 IPS |
