Apple Inc. MacPro5,1
Geekbench AI Score
581
Single Precision Score
348
Half Precision Score
794
Quantized Score
Geekbench AI 1.2.0 Pro for Windows x86 (64-bit)
Result Information
| User | coorelle |
| Upload Date | March 14 2025 09:24 AM |
| Views | 4 |
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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
261
48.4 IPS |
|
|
Image Classification (HP)
|
100% |
139
25.9 IPS |
|
|
Image Classification (Q)
|
96% |
670
125.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
371
6.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
212
3.43 IPS |
|
|
Image Segmentation (Q)
|
97% |
521
8.48 IPS |
|
|
Pose Estimation (SP)
|
100% |
760
0.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
719
0.84 IPS |
|
|
Pose Estimation (Q)
|
86% |
1316
1.56 IPS |
|
|
Object Detection (SP)
|
100% |
356
28.2 IPS |
|
|
Object Detection (HP)
|
100% |
174
13.8 IPS |
|
|
Object Detection (Q)
|
58% |
453
49.5 IPS |
|
|
Face Detection (SP)
|
100% |
1059
12.6 IPS |
|
|
Face Detection (HP)
|
100% |
433
5.15 IPS |
|
|
Face Detection (Q)
|
96% |
1449
17.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1036
7.98 IPS |
|
|
Depth Estimation (HP)
|
99% |
517
3.98 IPS |
|
|
Depth Estimation (Q)
|
78% |
1428
11.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2011
2.59 IPS |
|
|
Style Transfer (HP)
|
100% |
1947
2.50 IPS |
|
|
Style Transfer (Q)
|
87% |
2751
3.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
413
15.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
393
14.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
602
22.3 IPS |
|
|
Text Classification (SP)
|
100% |
385
513.5 IPS |
|
|
Text Classification (HP)
|
100% |
198
264.6 IPS |
|
|
Text Classification (Q)
|
97% |
224
299.5 IPS |
|
|
Machine Translation (SP)
|
100% |
484
8.35 IPS |
|
|
Machine Translation (HP)
|
100% |
212
3.66 IPS |
|
|
Machine Translation (Q)
|
68% |
629
12.2 IPS |
