MacPro5,1
Geekbench ML Score
183
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS x86 (64-bit)
Result Information
| Upload Date | September 20 2024 03:26 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.7 (Build 23H124) |
| Model | MacPro5,1 |
| Model ID | MacPro5,1 |
| Motherboard | Apple Inc. Mac-27AD2F918AE68F61 MacPro5,1 |
| CPU Information | |
|---|---|
| Name | Intel Xeon X5690 |
| Topology | 2 Processors, 12 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 44 Stepping 2 |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 12 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 256 KB x 6 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Transfer Rate | 1333 MT/s |
| Type | DDR3 |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
199
37.2 IPS |
|
|
Image Classification (F16)
|
100% |
55
10.4 IPS |
|
|
Image Classification (I8)
|
99% |
55
10.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
108
1.80 IPS |
|
|
Image Segmentation (F16)
|
100% |
37
0.61 IPS |
|
|
Image Segmentation (I8)
|
100% |
37
0.61 IPS |
|
|
Pose Estimation (F32)
|
100% |
1001
1.21 IPS |
|
|
Pose Estimation (F16)
|
100% |
481
0.58 IPS |
|
|
Pose Estimation (I8)
|
100% |
477
0.58 IPS |
|
|
Object Detection (F32)
|
100% |
214
16.0 IPS |
|
|
Object Detection (F16)
|
100% |
72
5.35 IPS |
|
|
Object Detection (I8)
|
97% |
213
15.9 IPS |
|
|
Face Detection (F32)
|
100% |
377
4.48 IPS |
|
|
Face Detection (F16)
|
98% |
101
1.20 IPS |
|
|
Face Detection (I8)
|
97% |
101
1.20 IPS |
|
|
Depth Estimation (F32)
|
100% |
590
4.58 IPS |
|
|
Depth Estimation (F16)
|
100% |
167
1.29 IPS |
|
|
Depth Estimation (I8)
|
99% |
167
1.30 IPS |
|
|
Style Transfer (F32)
|
100% |
1810
2.38 IPS |
|
|
Style Transfer (F16)
|
100% |
749
0.98 IPS |
|
|
Style Transfer (I8)
|
100% |
751
0.99 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
569
20.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
215
7.67 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
201
7.18 IPS |
|
|
Text Classification (F32)
|
100% |
125
179.5 IPS |
|
|
Text Classification (F16)
|
42% |
85
122.5 IPS |
|
|
Text Classification (I8)
|
42% |
86
123.1 IPS |
|
|
Machine Translation (F32)
|
100% |
99
1.81 IPS |
|
|
Machine Translation (F16)
|
0% |
82
1.50 IPS |
|
|
Machine Translation (I8)
|
99% |
98
1.81 IPS |
