Mac Pro (Late 2013)
Geekbench AI Score
496
Single Precision Score
24
Half Precision Score
17
Quantized Score
Geekbench AI 1.5.0 for macOS x86 (64-bit)
Result Information
| User | ChrisDuCoeur |
| Upload Date | September 20 2025 02:07 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Xeon E5-1650 v2 |
| System Information | |
|---|---|
| Operating System | macOS 15.7 (Build 24G222) |
| 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 | 64.00 GB |
| Transfer Rate | 1866 MT/s |
| Type | DDR3 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
226
42.0 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
298
4.83 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
1284
1.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
333
0.39 IPS |
|
|
Pose Estimation (Q)
|
96% |
266
0.31 IPS |
|
|
Object Detection (SP)
|
100% |
262
20.8 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
637
7.57 IPS |
|
|
Face Detection (HP)
|
100% |
421
5.00 IPS |
|
|
Face Detection (Q)
|
100% |
82
0.97 IPS |
|
|
Depth Estimation (SP)
|
100% |
714
5.50 IPS |
|
|
Depth Estimation (HP)
|
99% |
341
2.63 IPS |
|
|
Depth Estimation (Q)
|
85% |
172
1.35 IPS |
|
|
Style Transfer (SP)
|
100% |
1795
2.31 IPS |
|
|
Style Transfer (HP)
|
100% |
947
1.22 IPS |
|
|
Style Transfer (Q)
|
96% |
624
0.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
724
26.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
228
8.42 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
99
3.64 IPS |
|
|
Text Classification (SP)
|
100% |
261
348.5 IPS |
|
|
Text Classification (HP)
|
29% |
9
152.4 IPS |
|
|
Text Classification (Q)
|
29% |
9
152.0 IPS |
|
|
Machine Translation (SP)
|
100% |
260
4.48 IPS |
|
|
Machine Translation (HP)
|
0% |
0
1.31 IPS |
|
|
Machine Translation (Q)
|
0% |
0
1.29 IPS |
