Micro-Star International Co., Ltd. MS-7B86
Geekbench AI Score
1996
Single Precision Score
1980
Half Precision Score
1822
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | vanv101 |
| Upload Date | November 28 2024 04:39 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | Micro-Star International Co., Ltd. MS-7B86 |
| Motherboard | Micro-Star International Co., Ltd. B550 GAMING GEN3 (MS-7B86) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 5.27 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 46.96 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1541
286.7 IPS |
|
|
Image Classification (HP)
|
100% |
1554
289.0 IPS |
|
|
Image Classification (Q)
|
99% |
1209
225.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1890
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1628
26.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1266
20.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2357
2.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
2360
2.75 IPS |
|
|
Pose Estimation (Q)
|
96% |
4457
5.22 IPS |
|
|
Object Detection (SP)
|
100% |
1693
134.3 IPS |
|
|
Object Detection (HP)
|
100% |
1682
133.4 IPS |
|
|
Object Detection (Q)
|
85% |
1457
117.3 IPS |
|
|
Face Detection (SP)
|
100% |
2564
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
2560
30.4 IPS |
|
|
Face Detection (Q)
|
97% |
2822
33.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2114
16.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1994
15.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
2277
21.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2607
3.35 IPS |
|
|
Style Transfer (HP)
|
100% |
2668
3.43 IPS |
|
|
Style Transfer (Q)
|
98% |
6517
8.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1665
61.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1671
61.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1945
72.1 IPS |
|
|
Text Classification (SP)
|
100% |
1325
1.77 KIPS |
|
|
Text Classification (HP)
|
100% |
1451
1.94 KIPS |
|
|
Text Classification (Q)
|
92% |
748
1.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
2779
47.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2801
48.3 IPS |
|
|
Machine Translation (Q)
|
58% |
668
15.7 IPS |
