Mac Pro (Late 2013)
Geekbench AI Score
517
Single Precision Score
24
Half Precision Score
17
Quantized Score
Geekbench AI 1.5.0 for macOS x86 (64-bit)
Result Information
| Upload Date | December 08 2025 10:52 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Xeon E5-1650 v2 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.2 (Build 24G325) |
| 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% |
234
43.5 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
306
4.97 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
1416
1.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
334
0.39 IPS |
|
|
Pose Estimation (Q)
|
96% |
265
0.31 IPS |
|
|
Object Detection (SP)
|
100% |
268
21.3 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
661
7.85 IPS |
|
|
Face Detection (HP)
|
100% |
426
5.07 IPS |
|
|
Face Detection (Q)
|
100% |
83
0.99 IPS |
|
|
Depth Estimation (SP)
|
100% |
729
5.62 IPS |
|
|
Depth Estimation (HP)
|
99% |
336
2.59 IPS |
|
|
Depth Estimation (Q)
|
85% |
172
1.34 IPS |
|
|
Style Transfer (SP)
|
100% |
1967
2.53 IPS |
|
|
Style Transfer (HP)
|
100% |
955
1.23 IPS |
|
|
Style Transfer (Q)
|
96% |
636
0.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
764
28.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
230
8.51 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
100
3.68 IPS |
|
|
Text Classification (SP)
|
100% |
266
355.0 IPS |
|
|
Text Classification (HP)
|
29% |
9
155.6 IPS |
|
|
Text Classification (Q)
|
29% |
9
155.4 IPS |
|
|
Machine Translation (SP)
|
100% |
264
4.55 IPS |
|
|
Machine Translation (HP)
|
0% |
0
1.31 IPS |
|
|
Machine Translation (Q)
|
0% |
0
1.28 IPS |
