Parallels Software International Inc. Parallels Virtual Platform
Geekbench AI Score
449
Single Precision Score
284
Half Precision Score
564
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | KD8UXA |
| Upload Date | February 26 2025 10:02 PM |
| Views | 21 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon W3690 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Parallels Software International Inc. Parallels Virtual Platform |
| Motherboard | Parallels Software International Inc. Parallels Virtual Platform |
| Power Plan | Parallels |
| CPU Information | |
|---|---|
| Name | Intel Xeon W3690 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 44 Stepping 2 |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Type | DRAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
275
51.1 IPS |
|
|
Image Classification (HP)
|
100% |
126
23.5 IPS |
|
|
Image Classification (Q)
|
96% |
440
82.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
241
3.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
183
2.97 IPS |
|
|
Image Segmentation (Q)
|
97% |
363
5.90 IPS |
|
|
Pose Estimation (SP)
|
100% |
605
0.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
524
0.61 IPS |
|
|
Pose Estimation (Q)
|
86% |
1021
1.21 IPS |
|
|
Object Detection (SP)
|
100% |
305
24.2 IPS |
|
|
Object Detection (HP)
|
100% |
169
13.4 IPS |
|
|
Object Detection (Q)
|
58% |
360
39.3 IPS |
|
|
Face Detection (SP)
|
100% |
898
10.7 IPS |
|
|
Face Detection (HP)
|
100% |
417
4.96 IPS |
|
|
Face Detection (Q)
|
96% |
1171
14.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
834
6.43 IPS |
|
|
Depth Estimation (HP)
|
99% |
425
3.27 IPS |
|
|
Depth Estimation (Q)
|
78% |
876
6.97 IPS |
|
|
Style Transfer (SP)
|
100% |
1502
1.93 IPS |
|
|
Style Transfer (HP)
|
100% |
1378
1.77 IPS |
|
|
Style Transfer (Q)
|
87% |
1699
2.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
276
10.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
269
9.93 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
407
15.1 IPS |
|
|
Text Classification (SP)
|
100% |
268
357.9 IPS |
|
|
Text Classification (HP)
|
100% |
161
214.4 IPS |
|
|
Text Classification (Q)
|
97% |
160
214.8 IPS |
|
|
Machine Translation (SP)
|
100% |
333
5.74 IPS |
|
|
Machine Translation (HP)
|
100% |
161
2.77 IPS |
|
|
Machine Translation (Q)
|
68% |
492
9.51 IPS |
