Mac Pro (Late 2013)
Geekbench AI Score
379
Single Precision Score
79
Half Precision Score
49
Quantized Score
Geekbench AI 1.2.0 for macOS x86 (64-bit)
Result Information
| Upload Date | February 03 2025 01:00 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Xeon E5-1620 v2 |
| System Information | |
|---|---|
| Operating System | macOS 14.4 (Build 23E214) |
| Model | Mac Pro (Late 2013) |
| Model ID | MacPro6,1 |
| Motherboard | Apple Inc. Mac-F60DEB81FF30ACF6 MacPro6,1 |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-1620 v2 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Transfer Rate | 1866 MT/s |
| Type | DDR3 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
176
32.7 IPS |
|
|
Image Classification (HP)
|
100% |
72
13.4 IPS |
|
|
Image Classification (Q)
|
96% |
33
6.21 IPS |
|
|
Image Segmentation (SP)
|
100% |
215
3.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
53
0.85 IPS |
|
|
Image Segmentation (Q)
|
99% |
36
0.58 IPS |
|
|
Pose Estimation (SP)
|
100% |
922
1.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
479
0.56 IPS |
|
|
Pose Estimation (Q)
|
96% |
324
0.38 IPS |
|
|
Object Detection (SP)
|
100% |
186
14.8 IPS |
|
|
Object Detection (HP)
|
100% |
84
6.64 IPS |
|
|
Object Detection (Q)
|
92% |
42
3.32 IPS |
|
|
Face Detection (SP)
|
100% |
461
5.48 IPS |
|
|
Face Detection (HP)
|
100% |
137
1.63 IPS |
|
|
Face Detection (Q)
|
100% |
56
0.67 IPS |
|
|
Depth Estimation (SP)
|
100% |
508
3.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
185
1.42 IPS |
|
|
Depth Estimation (Q)
|
86% |
118
0.92 IPS |
|
|
Style Transfer (SP)
|
100% |
1317
1.69 IPS |
|
|
Style Transfer (HP)
|
100% |
656
0.84 IPS |
|
|
Style Transfer (Q)
|
96% |
472
0.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
526
19.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
212
7.83 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
95
3.51 IPS |
|
|
Text Classification (SP)
|
100% |
252
336.6 IPS |
|
|
Text Classification (HP)
|
36% |
18
149.8 IPS |
|
|
Text Classification (Q)
|
36% |
18
151.4 IPS |
|
|
Machine Translation (SP)
|
100% |
234
4.03 IPS |
|
|
Machine Translation (HP)
|
0% |
0
1.85 IPS |
|
|
Machine Translation (Q)
|
0% |
0
1.52 IPS |
