VMware, Inc. VMware Virtual Platform
Geekbench AI Score
1048
Single Precision Score
1041
Half Precision Score
574
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | rhalswadi |
| Upload Date | April 12 2025 05:35 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-1155G7 |
| System Information | |
|---|---|
| Operating System | Linux Mint 22.1 |
| Model | VMware, Inc. VMware Virtual Platform |
| Motherboard | Intel Corporation 440BX Desktop Reference Platform |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1155G7 |
| Topology | 4 Processors, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 1.87 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
684
127.3 IPS |
|
|
Image Classification (HP)
|
100% |
714
132.7 IPS |
|
|
Image Classification (Q)
|
99% |
357
66.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
833
13.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
818
13.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
424
6.89 IPS |
|
|
Pose Estimation (SP)
|
100% |
1246
1.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
1165
1.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
812
0.95 IPS |
|
|
Object Detection (SP)
|
100% |
635
50.3 IPS |
|
|
Object Detection (HP)
|
100% |
822
65.2 IPS |
|
|
Object Detection (Q)
|
85% |
342
27.6 IPS |
|
|
Face Detection (SP)
|
100% |
1345
16.0 IPS |
|
|
Face Detection (HP)
|
100% |
1568
18.6 IPS |
|
|
Face Detection (Q)
|
97% |
862
10.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1208
9.31 IPS |
|
|
Depth Estimation (HP)
|
99% |
1186
9.14 IPS |
|
|
Depth Estimation (Q)
|
63% |
690
6.47 IPS |
|
|
Style Transfer (SP)
|
100% |
1726
2.22 IPS |
|
|
Style Transfer (HP)
|
100% |
1730
2.22 IPS |
|
|
Style Transfer (Q)
|
98% |
1860
2.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
863
31.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
789
29.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
558
20.7 IPS |
|
|
Text Classification (SP)
|
100% |
1169
1.56 KIPS |
|
|
Text Classification (HP)
|
100% |
797
1.06 KIPS |
|
|
Text Classification (Q)
|
92% |
444
596.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1264
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1326
22.8 IPS |
|
|
Machine Translation (Q)
|
58% |
340
7.97 IPS |
