Micro-Star International Co., Ltd. MS-7B92
Geekbench AI Score
1202
Single Precision Score
1186
Half Precision Score
966
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | djamc |
| Upload Date | October 22 2024 12:09 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen Threadripper 2950X |
| System Information | |
|---|---|
| Operating System | Gentoo Linux |
| Model | Micro-Star International Co., Ltd. MS-7B92 |
| Motherboard | Micro-Star International Co., Ltd. MEG X399 CREATION (MS-7B92) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper 2950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 23 Model 8 Stepping 2 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 125.68 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
696
129.5 IPS |
|
|
Image Classification (HP)
|
100% |
673
125.2 IPS |
|
|
Image Classification (Q)
|
99% |
510
95.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1343
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1338
21.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
776
12.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2042
2.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
2057
2.40 IPS |
|
|
Pose Estimation (Q)
|
96% |
2696
3.16 IPS |
|
|
Object Detection (SP)
|
100% |
900
71.4 IPS |
|
|
Object Detection (HP)
|
100% |
883
70.0 IPS |
|
|
Object Detection (Q)
|
85% |
705
56.7 IPS |
|
|
Face Detection (SP)
|
100% |
1489
17.7 IPS |
|
|
Face Detection (HP)
|
100% |
1494
17.8 IPS |
|
|
Face Detection (Q)
|
97% |
1187
14.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1543
11.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1552
12.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
1300
12.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2726
3.50 IPS |
|
|
Style Transfer (HP)
|
100% |
2604
3.35 IPS |
|
|
Style Transfer (Q)
|
98% |
4474
5.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
717
26.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
750
27.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
986
36.5 IPS |
|
|
Text Classification (SP)
|
100% |
697
930.5 IPS |
|
|
Text Classification (HP)
|
100% |
682
910.1 IPS |
|
|
Text Classification (Q)
|
92% |
365
490.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1179
20.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1096
18.9 IPS |
|
|
Machine Translation (Q)
|
58% |
381
8.93 IPS |
