Micro-Star International Co., Ltd. MS-7B09
Geekbench AI Score
102
Single Precision Score
102
Half Precision Score
77
Quantized Score
Geekbench AI 1.0.0 for Linux x86 (64-bit)
Result Information
| Upload Date | August 19 2024 02:00 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen Threadripper 1950X |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04 LTS |
| Model | Micro-Star International Co., Ltd. MS-7B09 |
| Motherboard | Micro-Star International Co., Ltd X399 GAMING PRO CARBON AC (MS-7B09) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper 1950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 23 Model 1 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 78.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
55
10.2 IPS |
|
|
Image Classification (HP)
|
100% |
55
10.3 IPS |
|
|
Image Classification (Q)
|
97% |
44
8.26 IPS |
|
|
Image Segmentation (SP)
|
100% |
87
1.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
86
1.39 IPS |
|
|
Image Segmentation (Q)
|
98% |
65
1.06 IPS |
|
|
Pose Estimation (SP)
|
100% |
107
0.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
108
0.13 IPS |
|
|
Pose Estimation (Q)
|
96% |
88
0.10 IPS |
|
|
Object Detection (SP)
|
100% |
58
4.59 IPS |
|
|
Object Detection (HP)
|
100% |
58
4.62 IPS |
|
|
Object Detection (Q)
|
88% |
46
3.69 IPS |
|
|
Face Detection (SP)
|
100% |
192
2.28 IPS |
|
|
Face Detection (HP)
|
100% |
190
2.26 IPS |
|
|
Face Detection (Q)
|
97% |
144
1.72 IPS |
|
|
Depth Estimation (SP)
|
100% |
141
1.09 IPS |
|
|
Depth Estimation (HP)
|
100% |
143
1.10 IPS |
|
|
Depth Estimation (Q)
|
75% |
110
0.89 IPS |
|
|
Style Transfer (SP)
|
100% |
312
0.40 IPS |
|
|
Style Transfer (HP)
|
100% |
314
0.40 IPS |
|
|
Style Transfer (Q)
|
98% |
265
0.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
67
2.47 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
66
2.45 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
54
1.99 IPS |
|
|
Text Classification (SP)
|
100% |
66
88.5 IPS |
|
|
Text Classification (HP)
|
100% |
67
89.2 IPS |
|
|
Text Classification (Q)
|
91% |
48
64.7 IPS |
|
|
Machine Translation (SP)
|
100% |
115
1.98 IPS |
|
|
Machine Translation (HP)
|
100% |
119
2.05 IPS |
|
|
Machine Translation (Q)
|
58% |
59
1.42 IPS |
