LENOVO System x3650 M5: -[8871AC1]-
Geekbench AI Score
33
Single Precision Score
32
Half Precision Score
24
Quantized Score
Geekbench AI 1.5.0 for Linux x86 (64-bit)
Result Information
| Upload Date | November 13 2025 07:24 PM |
| Views | 8 |
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% |
14
2.61 IPS |
|
|
Image Classification (HP)
|
100% |
14
2.54 IPS |
|
|
Image Classification (Q)
|
97% |
12
2.22 IPS |
|
|
Image Segmentation (SP)
|
100% |
28
0.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
28
0.45 IPS |
|
|
Image Segmentation (Q)
|
98% |
21
0.35 IPS |
|
|
Pose Estimation (SP)
|
100% |
42
0.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
41
0.05 IPS |
|
|
Pose Estimation (Q)
|
96% |
38
0.04 IPS |
|
|
Object Detection (SP)
|
100% |
21
1.64 IPS |
|
|
Object Detection (HP)
|
100% |
21
1.67 IPS |
|
|
Object Detection (Q)
|
87% |
17
1.34 IPS |
|
|
Face Detection (SP)
|
100% |
76
0.90 IPS |
|
|
Face Detection (HP)
|
100% |
76
0.90 IPS |
|
|
Face Detection (Q)
|
97% |
56
0.67 IPS |
|
|
Depth Estimation (SP)
|
100% |
54
0.42 IPS |
|
|
Depth Estimation (HP)
|
99% |
54
0.42 IPS |
|
|
Depth Estimation (Q)
|
64% |
36
0.33 IPS |
|
|
Style Transfer (SP)
|
100% |
140
0.18 IPS |
|
|
Style Transfer (HP)
|
100% |
125
0.16 IPS |
|
|
Style Transfer (Q)
|
98% |
102
0.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22
0.80 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20
0.73 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
18
0.68 IPS |
|
|
Text Classification (SP)
|
100% |
11
14.8 IPS |
|
|
Text Classification (HP)
|
100% |
9
12.5 IPS |
|
|
Text Classification (Q)
|
91% |
6
8.42 IPS |
|
|
Machine Translation (SP)
|
100% |
42
0.73 IPS |
|
|
Machine Translation (HP)
|
100% |
45
0.78 IPS |
|
|
Machine Translation (Q)
|
58% |
24
0.57 IPS |
