Micro-Star International Co., Ltd. MS-7C36
Geekbench AI Score
2531
Single Precision Score
1178
Half Precision Score
2500
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Krenith |
| Upload Date | October 10 2024 01:17 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 3900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C36 |
| Motherboard | Micro-Star International Co., Ltd. PRESTIGE X570 CREATION (MS-7C36) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 3900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1229
228.6 IPS |
|
|
Image Classification (HP)
|
100% |
391
72.7 IPS |
|
|
Image Classification (Q)
|
96% |
2070
386.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
920
14.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
507
8.22 IPS |
|
|
Image Segmentation (Q)
|
97% |
1758
28.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8934
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
5647
6.59 IPS |
|
|
Pose Estimation (Q)
|
87% |
8729
10.3 IPS |
|
|
Object Detection (SP)
|
100% |
1556
123.4 IPS |
|
|
Object Detection (HP)
|
100% |
503
39.9 IPS |
|
|
Object Detection (Q)
|
86% |
1230
98.9 IPS |
|
|
Face Detection (SP)
|
100% |
2407
28.6 IPS |
|
|
Face Detection (HP)
|
100% |
1128
13.4 IPS |
|
|
Face Detection (Q)
|
96% |
3133
37.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6212
47.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1797
13.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
5091
40.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16664
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
14850
19.1 IPS |
|
|
Style Transfer (Q)
|
87% |
14528
18.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1909
70.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1566
57.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1873
69.4 IPS |
|
|
Text Classification (SP)
|
100% |
938
1.25 KIPS |
|
|
Text Classification (HP)
|
100% |
417
556.6 IPS |
|
|
Text Classification (Q)
|
97% |
351
470.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1541
26.5 IPS |
|
|
Machine Translation (HP)
|
100% |
468
8.07 IPS |
|
|
Machine Translation (Q)
|
60% |
1606
35.8 IPS |
