Micro-Star International Co., Ltd. MS-7C73
Geekbench AI Score
2441
Single Precision Score
690
Half Precision Score
2815
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | slebu |
| Upload Date | August 19 2024 10:21 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-10900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C73 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z490 GAMING CARBON WIFI (MS-7C73) |
| Power Plan | Huippuluokan suorituskyky |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10900K |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1381
256.8 IPS |
|
|
Image Classification (HP)
|
100% |
133
24.8 IPS |
|
|
Image Classification (Q)
|
97% |
2620
489.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1293
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
196
3.17 IPS |
|
|
Image Segmentation (Q)
|
97% |
1838
29.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4921
5.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
4227
4.93 IPS |
|
|
Pose Estimation (Q)
|
87% |
10926
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1459
115.7 IPS |
|
|
Object Detection (HP)
|
100% |
187
14.8 IPS |
|
|
Object Detection (Q)
|
86% |
1593
128.1 IPS |
|
|
Face Detection (SP)
|
100% |
1836
21.8 IPS |
|
|
Face Detection (HP)
|
100% |
259
3.08 IPS |
|
|
Face Detection (Q)
|
96% |
2894
34.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5293
40.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
859
6.62 IPS |
|
|
Depth Estimation (Q)
|
76% |
5761
46.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12464
16.0 IPS |
|
|
Style Transfer (HP)
|
100% |
10201
13.1 IPS |
|
|
Style Transfer (Q)
|
87% |
13218
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2228
82.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1736
64.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2559
94.8 IPS |
|
|
Text Classification (SP)
|
100% |
1524
2.03 KIPS |
|
|
Text Classification (HP)
|
100% |
608
811.6 IPS |
|
|
Text Classification (Q)
|
97% |
429
574.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1428
24.6 IPS |
|
|
Machine Translation (HP)
|
100% |
498
8.58 IPS |
|
|
Machine Translation (Q)
|
60% |
1546
34.5 IPS |
