Apple Inc. MacPro5,1
Geekbench AI Score
703
Single Precision Score
712
Half Precision Score
1408
Quantized Score
Geekbench AI 1.2.0 Pro for Windows x86 (64-bit)
Result Information
| User | coorelle |
| Upload Date | March 14 2025 09:23 AM |
| Views | 8 |
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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
410
76.2 IPS |
|
|
Image Classification (HP)
|
100% |
439
81.6 IPS |
|
|
Image Classification (Q)
|
100% |
944
175.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
608
9.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
610
9.88 IPS |
|
|
Image Segmentation (Q)
|
99% |
1152
18.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
843
0.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
838
0.98 IPS |
|
|
Pose Estimation (Q)
|
94% |
2166
2.54 IPS |
|
|
Object Detection (SP)
|
100% |
442
35.1 IPS |
|
|
Object Detection (HP)
|
100% |
439
34.8 IPS |
|
|
Object Detection (Q)
|
87% |
945
75.8 IPS |
|
|
Face Detection (SP)
|
100% |
1361
16.2 IPS |
|
|
Face Detection (HP)
|
100% |
1326
15.8 IPS |
|
|
Face Detection (Q)
|
97% |
2739
32.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1115
8.59 IPS |
|
|
Depth Estimation (HP)
|
99% |
1114
8.58 IPS |
|
|
Depth Estimation (Q)
|
81% |
2537
20.0 IPS |
|
|
Style Transfer (SP)
|
100% |
1988
2.56 IPS |
|
|
Style Transfer (HP)
|
100% |
1932
2.48 IPS |
|
|
Style Transfer (Q)
|
98% |
6650
8.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
513
18.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
541
20.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1323
49.0 IPS |
|
|
Text Classification (SP)
|
100% |
454
606.2 IPS |
|
|
Text Classification (HP)
|
100% |
476
635.8 IPS |
|
|
Text Classification (Q)
|
91% |
446
599.3 IPS |
|
|
Machine Translation (SP)
|
100% |
456
7.85 IPS |
|
|
Machine Translation (HP)
|
100% |
463
7.97 IPS |
|
|
Machine Translation (Q)
|
100% |
506
8.71 IPS |
