VMware, Inc. VMware Virtual Platform
Geekbench AI Score
30
Single Precision Score
30
Half Precision Score
22
Quantized Score
Geekbench AI 1.1.0 for Linux x86 (64-bit)
Result Information
| Upload Date | November 21 2024 07:57 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon E5-2620 v4 |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.4 LTS |
| Model | VMware, Inc. VMware Virtual Platform |
| Motherboard | Intel Corporation 440BX Desktop Reference Platform |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2620 v4 |
| Topology | 8 Processors, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.61 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
18
3.35 IPS |
|
|
Image Classification (HP)
|
100% |
18
3.26 IPS |
|
|
Image Classification (Q)
|
97% |
13
2.50 IPS |
|
|
Image Segmentation (SP)
|
100% |
24
0.40 IPS |
|
|
Image Segmentation (HP)
|
100% |
24
0.39 IPS |
|
|
Image Segmentation (Q)
|
98% |
18
0.29 IPS |
|
|
Pose Estimation (SP)
|
100% |
29
0.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
29
0.03 IPS |
|
|
Pose Estimation (Q)
|
96% |
23
0.03 IPS |
|
|
Object Detection (SP)
|
100% |
17
1.37 IPS |
|
|
Object Detection (HP)
|
100% |
17
1.35 IPS |
|
|
Object Detection (Q)
|
87% |
13
1.06 IPS |
|
|
Face Detection (SP)
|
100% |
58
0.69 IPS |
|
|
Face Detection (HP)
|
100% |
58
0.69 IPS |
|
|
Face Detection (Q)
|
97% |
44
0.53 IPS |
|
|
Depth Estimation (SP)
|
100% |
42
0.32 IPS |
|
|
Depth Estimation (HP)
|
99% |
41
0.32 IPS |
|
|
Depth Estimation (Q)
|
64% |
27
0.25 IPS |
|
|
Style Transfer (SP)
|
100% |
87
0.11 IPS |
|
|
Style Transfer (HP)
|
100% |
86
0.11 IPS |
|
|
Style Transfer (Q)
|
98% |
69
0.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19
0.69 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19
0.70 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14
0.54 IPS |
|
|
Text Classification (SP)
|
100% |
23
30.8 IPS |
|
|
Text Classification (HP)
|
100% |
24
31.9 IPS |
|
|
Text Classification (Q)
|
91% |
16
21.6 IPS |
|
|
Machine Translation (SP)
|
100% |
40
0.70 IPS |
|
|
Machine Translation (HP)
|
100% |
40
0.70 IPS |
|
|
Machine Translation (Q)
|
58% |
21
0.49 IPS |
