Lenovo ThinkSystem SR655 V3
Geekbench AI Score
139
Single Precision Score
136
Half Precision Score
89
Quantized Score
Geekbench AI 1.4.0 for Linux x86 (64-bit)
Result Information
| Upload Date | July 10 2025 12:02 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD EPYC 9124 |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | Lenovo ThinkSystem SR655 V3 |
| Motherboard | Lenovo SB27B09917 |
| CPU Information | |
|---|---|
| Name | AMD EPYC 9124 |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 17 Stepping 1 |
| Base Frequency | 3.71 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 251.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
80
14.8 IPS |
|
|
Image Classification (HP)
|
100% |
74
13.7 IPS |
|
|
Image Classification (Q)
|
97% |
53
9.97 IPS |
|
|
Image Segmentation (SP)
|
100% |
109
1.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
111
1.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
78
1.27 IPS |
|
|
Pose Estimation (SP)
|
100% |
138
0.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
141
0.16 IPS |
|
|
Pose Estimation (Q)
|
96% |
96
0.11 IPS |
|
|
Object Detection (SP)
|
100% |
82
6.49 IPS |
|
|
Object Detection (HP)
|
100% |
77
6.10 IPS |
|
|
Object Detection (Q)
|
87% |
57
4.56 IPS |
|
|
Face Detection (SP)
|
100% |
252
2.99 IPS |
|
|
Face Detection (HP)
|
100% |
248
2.94 IPS |
|
|
Face Detection (Q)
|
97% |
171
2.04 IPS |
|
|
Depth Estimation (SP)
|
100% |
191
1.47 IPS |
|
|
Depth Estimation (HP)
|
99% |
176
1.36 IPS |
|
|
Depth Estimation (Q)
|
64% |
109
1.01 IPS |
|
|
Style Transfer (SP)
|
100% |
417
0.54 IPS |
|
|
Style Transfer (HP)
|
100% |
402
0.52 IPS |
|
|
Style Transfer (Q)
|
98% |
298
0.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
91
3.37 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
96
3.54 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
62
2.29 IPS |
|
|
Text Classification (SP)
|
100% |
100
133.9 IPS |
|
|
Text Classification (HP)
|
100% |
101
134.4 IPS |
|
|
Text Classification (Q)
|
91% |
64
86.2 IPS |
|
|
Machine Translation (SP)
|
100% |
152
2.62 IPS |
|
|
Machine Translation (HP)
|
100% |
147
2.52 IPS |
|
|
Machine Translation (Q)
|
58% |
69
1.64 IPS |
