雲端繪圖教室Adobe VMware, Inc. VMware7,1
Geekbench AI Score
1180
Single Precision Score
555
Half Precision Score
1022
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | iambjlu |
| Upload Date | November 06 2025 04:45 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2650 v4 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | VMware, Inc. VMware7,1 |
| Motherboard | Intel Corporation 440BX Desktop Reference Platform |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2650 v4 |
| Topology | 2 Processors, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 0 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 10.00 GB |
| Type | DRAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
863
160.5 IPS |
|
|
Image Classification (HP)
|
100% |
228
42.4 IPS |
|
|
Image Classification (Q)
|
96% |
837
156.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
545
8.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
328
5.32 IPS |
|
|
Image Segmentation (Q)
|
97% |
779
12.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1739
2.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
1423
1.66 IPS |
|
|
Pose Estimation (Q)
|
86% |
1820
2.15 IPS |
|
|
Object Detection (SP)
|
100% |
800
63.4 IPS |
|
|
Object Detection (HP)
|
100% |
283
22.4 IPS |
|
|
Object Detection (Q)
|
58% |
577
63.1 IPS |
|
|
Face Detection (SP)
|
100% |
2206
26.2 IPS |
|
|
Face Detection (HP)
|
100% |
657
7.81 IPS |
|
|
Face Detection (Q)
|
96% |
1858
22.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2162
16.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
790
6.09 IPS |
|
|
Depth Estimation (Q)
|
78% |
2053
16.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4086
5.25 IPS |
|
|
Style Transfer (HP)
|
100% |
3062
3.94 IPS |
|
|
Style Transfer (Q)
|
87% |
3161
4.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
783
28.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
607
22.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
914
33.9 IPS |
|
|
Text Classification (SP)
|
100% |
620
827.7 IPS |
|
|
Text Classification (HP)
|
100% |
320
427.0 IPS |
|
|
Text Classification (Q)
|
97% |
210
281.0 IPS |
|
|
Machine Translation (SP)
|
100% |
850
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
303
5.22 IPS |
|
|
Machine Translation (Q)
|
68% |
791
15.3 IPS |
