Apple Inc. MacPro5,1
Geekbench AI Score
516
Single Precision Score
526
Half Precision Score
1084
Quantized Score
Geekbench AI 1.2.0 Pro for Windows x86 (64-bit)
Result Information
| User | coorelle |
| Upload Date | March 14 2025 09:14 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU W3680 @ 3.33GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Apple Inc. MacPro5,1 |
| Motherboard | Apple Inc. Mac-F221BEC8 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon W3680 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 44 Stepping 2 |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
296
55.0 IPS |
|
|
Image Classification (HP)
|
100% |
301
56.0 IPS |
|
|
Image Classification (Q)
|
100% |
662
123.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
401
6.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
454
7.36 IPS |
|
|
Image Segmentation (Q)
|
99% |
1080
17.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
597
0.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
599
0.70 IPS |
|
|
Pose Estimation (Q)
|
94% |
1536
1.80 IPS |
|
|
Object Detection (SP)
|
100% |
303
24.0 IPS |
|
|
Object Detection (HP)
|
100% |
286
22.7 IPS |
|
|
Object Detection (Q)
|
87% |
667
53.5 IPS |
|
|
Face Detection (SP)
|
100% |
873
10.4 IPS |
|
|
Face Detection (HP)
|
100% |
933
11.1 IPS |
|
|
Face Detection (Q)
|
97% |
2415
28.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
800
6.16 IPS |
|
|
Depth Estimation (HP)
|
99% |
782
6.03 IPS |
|
|
Depth Estimation (Q)
|
81% |
1716
13.6 IPS |
|
|
Style Transfer (SP)
|
100% |
1424
1.83 IPS |
|
|
Style Transfer (HP)
|
100% |
1444
1.86 IPS |
|
|
Style Transfer (Q)
|
98% |
4665
6.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
372
13.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
356
13.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
913
33.8 IPS |
|
|
Text Classification (SP)
|
100% |
411
548.3 IPS |
|
|
Text Classification (HP)
|
100% |
458
611.9 IPS |
|
|
Text Classification (Q)
|
91% |
416
559.2 IPS |
|
|
Machine Translation (SP)
|
100% |
414
7.13 IPS |
|
|
Machine Translation (HP)
|
100% |
408
7.03 IPS |
|
|
Machine Translation (Q)
|
100% |
417
7.19 IPS |
