Mac Pro (Mid 2010)
Geekbench AI Score
354
Single Precision Score
86
Half Precision Score
46
Quantized Score
Geekbench AI 1.2.0 for macOS x86 (64-bit)
Result Information
| Upload Date | December 03 2024 11:56 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Xeon X5670 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| Model | Mac Pro (Mid 2010) |
| Model ID | MacPro5,1 |
| Motherboard | Apple Inc. Mac-27AD2F918AE68F61 MacPro5,1 |
| CPU Information | |
|---|---|
| Name | Intel Xeon X5670 |
| Topology | 2 Processors, 12 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 44 Stepping 2 |
| Base Frequency | 2.93 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 88.00 GB |
| Transfer Rate | 1333 MT/s |
| Type | DDR3 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
201
37.4 IPS |
|
|
Image Classification (HP)
|
100% |
104
19.4 IPS |
|
|
Image Classification (Q)
|
96% |
35
6.48 IPS |
|
|
Image Segmentation (SP)
|
100% |
223
3.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
94
1.52 IPS |
|
|
Image Segmentation (Q)
|
99% |
49
0.80 IPS |
|
|
Pose Estimation (SP)
|
100% |
1052
1.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
390
0.46 IPS |
|
|
Pose Estimation (Q)
|
96% |
285
0.33 IPS |
|
|
Object Detection (SP)
|
100% |
223
17.7 IPS |
|
|
Object Detection (HP)
|
100% |
123
9.76 IPS |
|
|
Object Detection (Q)
|
92% |
44
3.50 IPS |
|
|
Face Detection (SP)
|
100% |
434
5.15 IPS |
|
|
Face Detection (HP)
|
100% |
194
2.31 IPS |
|
|
Face Detection (Q)
|
100% |
57
0.68 IPS |
|
|
Depth Estimation (SP)
|
100% |
606
4.67 IPS |
|
|
Depth Estimation (HP)
|
99% |
265
2.04 IPS |
|
|
Depth Estimation (Q)
|
85% |
136
1.06 IPS |
|
|
Style Transfer (SP)
|
100% |
1607
2.07 IPS |
|
|
Style Transfer (HP)
|
100% |
881
1.13 IPS |
|
|
Style Transfer (Q)
|
96% |
557
0.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
541
20.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
185
6.85 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
80
2.95 IPS |
|
|
Text Classification (SP)
|
100% |
117
156.3 IPS |
|
|
Text Classification (HP)
|
29% |
6
109.9 IPS |
|
|
Text Classification (Q)
|
29% |
6
109.4 IPS |
|
|
Machine Translation (SP)
|
100% |
110
1.90 IPS |
|
|
Machine Translation (HP)
|
0% |
0
0.31 IPS |
|
|
Machine Translation (Q)
|
0% |
0
0.32 IPS |
