Micro-Star International Co., Ltd. MS-7C91
Geekbench AI Score
4138
Single Precision Score
1579
Half Precision Score
4723
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 07 2025 04:12 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C91 |
| Motherboard | Micro-Star International Co., Ltd. MAG B550 TOMAHAWK MAX WIFI (MS-7C91) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2958
550.1 IPS |
|
|
Image Classification (HP)
|
100% |
548
101.8 IPS |
|
|
Image Classification (Q)
|
96% |
5360
1.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2002
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
750
12.2 IPS |
|
|
Image Segmentation (Q)
|
97% |
2473
40.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9328
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
6687
7.80 IPS |
|
|
Pose Estimation (Q)
|
86% |
17734
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
3123
247.7 IPS |
|
|
Object Detection (HP)
|
100% |
690
54.7 IPS |
|
|
Object Detection (Q)
|
58% |
3433
375.1 IPS |
|
|
Face Detection (SP)
|
100% |
5822
69.2 IPS |
|
|
Face Detection (HP)
|
100% |
1461
17.4 IPS |
|
|
Face Detection (Q)
|
96% |
8698
103.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9236
71.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2341
18.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
13309
106.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19881
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
17098
22.0 IPS |
|
|
Style Transfer (Q)
|
87% |
17469
22.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2441
90.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1992
73.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3191
118.2 IPS |
|
|
Text Classification (SP)
|
100% |
1354
1.81 KIPS |
|
|
Text Classification (HP)
|
100% |
635
847.3 IPS |
|
|
Text Classification (Q)
|
97% |
400
536.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2420
41.7 IPS |
|
|
Machine Translation (HP)
|
100% |
688
11.9 IPS |
|
|
Machine Translation (Q)
|
68% |
2657
51.3 IPS |
