VMware, Inc. VMware Virtual Platform
Geekbench AI Score
1396
Single Precision Score
1393
Half Precision Score
881
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | aaalluhaibi |
| Upload Date | April 10 2025 02:17 PM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 7900X3D |
| 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 | AMD Ryzen 9 7900X3D |
| Topology | 2 Processors, 2 Cores |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 3.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
895
166.5 IPS |
|
|
Image Classification (HP)
|
100% |
881
163.9 IPS |
|
|
Image Classification (Q)
|
99% |
562
104.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1169
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1161
18.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
620
10.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1488
1.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
1501
1.75 IPS |
|
|
Pose Estimation (Q)
|
96% |
1263
1.48 IPS |
|
|
Object Detection (SP)
|
100% |
871
69.1 IPS |
|
|
Object Detection (HP)
|
100% |
866
68.7 IPS |
|
|
Object Detection (Q)
|
85% |
564
45.4 IPS |
|
|
Face Detection (SP)
|
100% |
1893
22.5 IPS |
|
|
Face Detection (HP)
|
100% |
1846
21.9 IPS |
|
|
Face Detection (Q)
|
97% |
1299
15.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1803
13.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1800
13.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
1091
10.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2412
3.10 IPS |
|
|
Style Transfer (HP)
|
100% |
2417
3.11 IPS |
|
|
Style Transfer (Q)
|
98% |
2808
3.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1069
39.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1080
39.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
769
28.5 IPS |
|
|
Text Classification (SP)
|
100% |
1296
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
1294
1.73 KIPS |
|
|
Text Classification (Q)
|
92% |
623
836.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1818
31.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1854
31.9 IPS |
|
|
Machine Translation (Q)
|
58% |
599
14.1 IPS |
