R740-esxi-ubuntu 4C8G VMware, Inc. VMware Virtual Platform
Geekbench AI Score
22
Single Precision Score
22
Half Precision Score
16
Quantized Score
Geekbench AI 1.3.0 for Linux x86 (64-bit)
Result Information
| User | sfm408 |
| Upload Date | April 12 2025 03:26 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon Gold 6230 |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04 LTS |
| Model | VMware, Inc. VMware Virtual Platform |
| Motherboard | Intel Corporation 440BX Desktop Reference Platform |
| CPU Information | |
|---|---|
| Name | Intel Xeon Gold 6230 |
| Topology | 4 Processors, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 7 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 7.75 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13
2.42 IPS |
|
|
Image Classification (HP)
|
100% |
13
2.42 IPS |
|
|
Image Classification (Q)
|
97% |
10
1.90 IPS |
|
|
Image Segmentation (SP)
|
100% |
18
0.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
18
0.29 IPS |
|
|
Image Segmentation (Q)
|
98% |
14
0.22 IPS |
|
|
Pose Estimation (SP)
|
100% |
21
0.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
21
0.02 IPS |
|
|
Pose Estimation (Q)
|
96% |
17
0.02 IPS |
|
|
Object Detection (SP)
|
100% |
13
1.00 IPS |
|
|
Object Detection (HP)
|
100% |
13
1.00 IPS |
|
|
Object Detection (Q)
|
87% |
10
0.79 IPS |
|
|
Face Detection (SP)
|
100% |
43
0.51 IPS |
|
|
Face Detection (HP)
|
100% |
43
0.51 IPS |
|
|
Face Detection (Q)
|
97% |
33
0.39 IPS |
|
|
Depth Estimation (SP)
|
100% |
30
0.23 IPS |
|
|
Depth Estimation (HP)
|
99% |
30
0.23 IPS |
|
|
Depth Estimation (Q)
|
64% |
20
0.18 IPS |
|
|
Style Transfer (SP)
|
100% |
63
0.08 IPS |
|
|
Style Transfer (HP)
|
100% |
64
0.08 IPS |
|
|
Style Transfer (Q)
|
98% |
51
0.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13
0.50 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14
0.50 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11
0.40 IPS |
|
|
Text Classification (SP)
|
100% |
17
22.7 IPS |
|
|
Text Classification (HP)
|
100% |
17
22.7 IPS |
|
|
Text Classification (Q)
|
91% |
13
17.3 IPS |
|
|
Machine Translation (SP)
|
100% |
33
0.56 IPS |
|
|
Machine Translation (HP)
|
100% |
33
0.56 IPS |
|
|
Machine Translation (Q)
|
58% |
17
0.41 IPS |
