Apple Inc. MacPro5,1
Geekbench AI Score
863
Single Precision Score
441
Half Precision Score
1215
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | BulbousSum |
| Upload Date | December 22 2024 10:57 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon X5690 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Apple Inc. MacPro5,1 |
| Motherboard | Apple Inc. Mac-F221BEC8 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon X5690 |
| Topology | 2 Processors, 12 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 44 Stepping 2 |
| Base Frequency | 3.59 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
602
111.9 IPS |
|
|
Image Classification (HP)
|
100% |
160
29.8 IPS |
|
|
Image Classification (Q)
|
96% |
1095
204.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
388
6.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
252
4.08 IPS |
|
|
Image Segmentation (Q)
|
97% |
673
10.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1400
1.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
1285
1.50 IPS |
|
|
Pose Estimation (Q)
|
86% |
2429
2.87 IPS |
|
|
Object Detection (SP)
|
100% |
564
44.8 IPS |
|
|
Object Detection (HP)
|
100% |
200
15.9 IPS |
|
|
Object Detection (Q)
|
58% |
780
85.2 IPS |
|
|
Face Detection (SP)
|
100% |
1626
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
482
5.72 IPS |
|
|
Face Detection (Q)
|
96% |
2309
27.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1797
13.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
641
4.94 IPS |
|
|
Depth Estimation (Q)
|
78% |
2191
17.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3707
4.77 IPS |
|
|
Style Transfer (HP)
|
100% |
3277
4.21 IPS |
|
|
Style Transfer (Q)
|
87% |
4119
5.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
558
20.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
556
20.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
732
27.1 IPS |
|
|
Text Classification (SP)
|
100% |
466
621.4 IPS |
|
|
Text Classification (HP)
|
100% |
226
302.2 IPS |
|
|
Text Classification (Q)
|
97% |
482
646.0 IPS |
|
|
Machine Translation (SP)
|
100% |
443
7.63 IPS |
|
|
Machine Translation (HP)
|
100% |
213
3.66 IPS |
|
|
Machine Translation (Q)
|
68% |
684
13.2 IPS |
