LENOVO System x3650 M5: -[8871AC1]-
Geekbench AI Score
37
Single Precision Score
35
Half Precision Score
26
Quantized Score
Geekbench AI 1.5.0 for Linux x86 (64-bit)
Result Information
| Upload Date | November 13 2025 07:27 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon E5-2667 v4 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | LENOVO System x3650 M5: -[8871AC1]- |
| Motherboard | LENOVO 01GR174 |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2667 v4 |
| Topology | 2 Processors, 16 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 503.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
56
10.5 IPS |
|
|
Image Classification (HP)
|
100% |
31
5.79 IPS |
|
|
Image Classification (Q)
|
97% |
24
4.51 IPS |
|
|
Image Segmentation (SP)
|
100% |
46
0.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
44
0.71 IPS |
|
|
Image Segmentation (Q)
|
98% |
32
0.52 IPS |
|
|
Pose Estimation (SP)
|
100% |
49
0.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
32
0.04 IPS |
|
|
Pose Estimation (Q)
|
96% |
24
0.03 IPS |
|
|
Object Detection (SP)
|
100% |
14
1.09 IPS |
|
|
Object Detection (HP)
|
100% |
17
1.32 IPS |
|
|
Object Detection (Q)
|
87% |
14
1.10 IPS |
|
|
Face Detection (SP)
|
100% |
59
0.70 IPS |
|
|
Face Detection (HP)
|
100% |
60
0.72 IPS |
|
|
Face Detection (Q)
|
97% |
45
0.53 IPS |
|
|
Depth Estimation (SP)
|
100% |
48
0.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
42
0.33 IPS |
|
|
Depth Estimation (Q)
|
64% |
28
0.26 IPS |
|
|
Style Transfer (SP)
|
100% |
104
0.13 IPS |
|
|
Style Transfer (HP)
|
100% |
90
0.12 IPS |
|
|
Style Transfer (Q)
|
98% |
83
0.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22
0.81 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23
0.85 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
18
0.68 IPS |
|
|
Text Classification (SP)
|
100% |
14
19.0 IPS |
|
|
Text Classification (HP)
|
100% |
15
19.6 IPS |
|
|
Text Classification (Q)
|
91% |
12
16.2 IPS |
|
|
Machine Translation (SP)
|
100% |
39
0.68 IPS |
|
|
Machine Translation (HP)
|
100% |
62
1.06 IPS |
|
|
Machine Translation (Q)
|
58% |
32
0.76 IPS |
