Apple Inc. MacPro5,1
Geekbench AI Score
463
Single Precision Score
289
Half Precision Score
684
Quantized Score
Geekbench AI 1.2.0 Pro for Windows x86 (64-bit)
Result Information
| User | coorelle |
| Upload Date | March 14 2025 09:03 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon W3680 |
| 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% |
285
52.9 IPS |
|
|
Image Classification (HP)
|
100% |
122
22.6 IPS |
|
|
Image Classification (Q)
|
96% |
570
106.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
247
4.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
184
2.99 IPS |
|
|
Image Segmentation (Q)
|
97% |
460
7.48 IPS |
|
|
Pose Estimation (SP)
|
100% |
593
0.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
563
0.66 IPS |
|
|
Pose Estimation (Q)
|
86% |
1115
1.32 IPS |
|
|
Object Detection (SP)
|
100% |
269
21.3 IPS |
|
|
Object Detection (HP)
|
100% |
144
11.4 IPS |
|
|
Object Detection (Q)
|
58% |
385
42.0 IPS |
|
|
Face Detection (SP)
|
100% |
800
9.51 IPS |
|
|
Face Detection (HP)
|
100% |
359
4.27 IPS |
|
|
Face Detection (Q)
|
96% |
1149
13.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
788
6.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
417
3.21 IPS |
|
|
Depth Estimation (Q)
|
78% |
1252
9.97 IPS |
|
|
Style Transfer (SP)
|
100% |
1560
2.01 IPS |
|
|
Style Transfer (HP)
|
100% |
1529
1.97 IPS |
|
|
Style Transfer (Q)
|
87% |
2309
3.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
313
11.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
314
11.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
498
18.4 IPS |
|
|
Text Classification (SP)
|
100% |
344
459.1 IPS |
|
|
Text Classification (HP)
|
100% |
175
233.2 IPS |
|
|
Text Classification (Q)
|
97% |
211
283.3 IPS |
|
|
Machine Translation (SP)
|
100% |
383
6.60 IPS |
|
|
Machine Translation (HP)
|
100% |
182
3.13 IPS |
|
|
Machine Translation (Q)
|
68% |
571
11.0 IPS |
