Micro-Star International Co., Ltd. MS-7C91
Geekbench AI Score
5985
Single Precision Score
5994
Half Precision Score
8138
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 07 2025 04:16 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X 12-Core Processor |
| 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% |
3393
631.1 IPS |
|
|
Image Classification (HP)
|
100% |
3644
677.7 IPS |
|
|
Image Classification (Q)
|
100% |
5236
973.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4704
76.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4525
73.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7411
120.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9436
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
9496
11.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
20284
23.8 IPS |
|
|
Object Detection (SP)
|
100% |
3732
296.0 IPS |
|
|
Object Detection (HP)
|
100% |
3796
301.1 IPS |
|
|
Object Detection (Q)
|
87% |
6328
507.6 IPS |
|
|
Face Detection (SP)
|
100% |
8694
103.3 IPS |
|
|
Face Detection (HP)
|
100% |
8425
100.1 IPS |
|
|
Face Detection (Q)
|
97% |
18146
216.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9775
75.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
9911
76.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
18116
143.0 IPS |
|
|
Style Transfer (SP)
|
100% |
27792
35.7 IPS |
|
|
Style Transfer (HP)
|
100% |
27779
35.7 IPS |
|
|
Style Transfer (Q)
|
98% |
56200
72.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5546
204.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5590
206.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
10383
384.6 IPS |
|
|
Text Classification (SP)
|
100% |
2594
3.46 KIPS |
|
|
Text Classification (HP)
|
100% |
2603
3.47 KIPS |
|
|
Text Classification (Q)
|
91% |
447
600.6 IPS |
|
|
Machine Translation (SP)
|
100% |
3093
53.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2986
51.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2985
51.4 IPS |
