Mac Pro (Late 2013)
Geekbench AI Score
518
Single Precision Score
118
Half Precision Score
59
Quantized Score
Geekbench AI 1.1.0 for macOS x86 (64-bit)
Result Information
| Upload Date | September 18 2024 01:06 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Xeon E5-1650 v2 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5046f) |
| Model | Mac Pro (Late 2013) |
| Model ID | MacPro6,1 |
| Motherboard | Apple Inc. Mac-F60DEB81FF30ACF6 MacPro6,1 |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-1650 v2 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Transfer Rate | 1866 MT/s |
| Type | DDR3 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
255
47.4 IPS |
|
|
Image Classification (HP)
|
100% |
189
35.2 IPS |
|
|
Image Classification (Q)
|
96% |
51
9.51 IPS |
|
|
Image Segmentation (SP)
|
100% |
305
4.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
144
2.34 IPS |
|
|
Image Segmentation (Q)
|
99% |
72
1.16 IPS |
|
|
Pose Estimation (SP)
|
100% |
1385
1.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
334
0.39 IPS |
|
|
Pose Estimation (Q)
|
96% |
266
0.31 IPS |
|
|
Object Detection (SP)
|
100% |
265
21.0 IPS |
|
|
Object Detection (HP)
|
100% |
205
16.2 IPS |
|
|
Object Detection (Q)
|
92% |
62
4.98 IPS |
|
|
Face Detection (SP)
|
100% |
652
7.75 IPS |
|
|
Face Detection (HP)
|
100% |
421
5.00 IPS |
|
|
Face Detection (Q)
|
100% |
84
1.00 IPS |
|
|
Depth Estimation (SP)
|
100% |
737
5.68 IPS |
|
|
Depth Estimation (HP)
|
99% |
345
2.66 IPS |
|
|
Depth Estimation (Q)
|
85% |
176
1.38 IPS |
|
|
Style Transfer (SP)
|
100% |
2018
2.59 IPS |
|
|
Style Transfer (HP)
|
100% |
966
1.24 IPS |
|
|
Style Transfer (Q)
|
96% |
644
0.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
764
28.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
231
8.54 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
102
3.77 IPS |
|
|
Text Classification (SP)
|
100% |
260
347.7 IPS |
|
|
Text Classification (HP)
|
29% |
9
161.4 IPS |
|
|
Text Classification (Q)
|
29% |
9
161.0 IPS |
|
|
Machine Translation (SP)
|
100% |
257
4.43 IPS |
|
|
Machine Translation (HP)
|
0% |
0
0.50 IPS |
|
|
Machine Translation (Q)
|
0% |
0
0.52 IPS |
