VMware, Inc. VMware Virtual Platform
Geekbench AI Score
1767
Single Precision Score
1777
Half Precision Score
955
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | MMDIGNAH |
| Upload Date | April 12 2025 04:11 PM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-12400 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | VMware, Inc. VMware Virtual Platform |
| Motherboard | Intel Corporation 440BX Desktop Reference Platform |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400 |
| Topology | 1 Processor, 12 Cores |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 6.69 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1210
225.0 IPS |
|
|
Image Classification (HP)
|
100% |
1218
226.5 IPS |
|
|
Image Classification (Q)
|
99% |
513
95.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1694
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1784
28.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
700
11.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2276
2.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
2282
2.66 IPS |
|
|
Pose Estimation (Q)
|
96% |
1862
2.18 IPS |
|
|
Object Detection (SP)
|
100% |
1221
96.8 IPS |
|
|
Object Detection (HP)
|
100% |
1211
96.1 IPS |
|
|
Object Detection (Q)
|
85% |
605
48.7 IPS |
|
|
Face Detection (SP)
|
100% |
2195
26.1 IPS |
|
|
Face Detection (HP)
|
100% |
2211
26.3 IPS |
|
|
Face Detection (Q)
|
97% |
1611
19.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2143
16.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2162
16.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
1312
12.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2618
3.37 IPS |
|
|
Style Transfer (HP)
|
100% |
2594
3.33 IPS |
|
|
Style Transfer (Q)
|
98% |
3921
5.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1629
60.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1631
60.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
947
35.1 IPS |
|
|
Text Classification (SP)
|
100% |
1392
1.86 KIPS |
|
|
Text Classification (HP)
|
100% |
1387
1.85 KIPS |
|
|
Text Classification (Q)
|
92% |
428
574.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1871
32.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1864
32.1 IPS |
|
|
Machine Translation (Q)
|
58% |
466
10.9 IPS |
