Mac Pro (Late 2013)
Geekbench AI Score
553
Single Precision Score
129
Half Precision Score
59
Quantized Score
Geekbench AI 1.1.0 for macOS x86 (64-bit)
Result Information
| User | Zztony |
| Upload Date | October 01 2024 08:09 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Xeon E5-2697 v2 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| Model | Mac Pro (Late 2013) |
| Model ID | MacPro6,1 |
| Motherboard | Apple Inc. Mac-F60DEB81FF30ACF6 MacPro6,1 |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2697 v2 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Transfer Rate | 1866 MT/s |
| Type | DDR3 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
260
48.4 IPS |
|
|
Image Classification (HP)
|
100% |
190
35.4 IPS |
|
|
Image Classification (Q)
|
96% |
47
8.86 IPS |
|
|
Image Segmentation (SP)
|
100% |
391
6.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
165
2.67 IPS |
|
|
Image Segmentation (Q)
|
99% |
70
1.14 IPS |
|
|
Pose Estimation (SP)
|
100% |
1525
1.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
453
0.53 IPS |
|
|
Pose Estimation (Q)
|
96% |
328
0.38 IPS |
|
|
Object Detection (SP)
|
100% |
308
24.4 IPS |
|
|
Object Detection (HP)
|
100% |
220
17.5 IPS |
|
|
Object Detection (Q)
|
92% |
60
4.75 IPS |
|
|
Face Detection (SP)
|
100% |
726
8.62 IPS |
|
|
Face Detection (HP)
|
100% |
462
5.49 IPS |
|
|
Face Detection (Q)
|
100% |
79
0.94 IPS |
|
|
Depth Estimation (SP)
|
100% |
774
5.96 IPS |
|
|
Depth Estimation (HP)
|
99% |
372
2.86 IPS |
|
|
Depth Estimation (Q)
|
85% |
175
1.37 IPS |
|
|
Style Transfer (SP)
|
100% |
2314
2.98 IPS |
|
|
Style Transfer (HP)
|
100% |
1181
1.52 IPS |
|
|
Style Transfer (Q)
|
96% |
705
0.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
805
29.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
262
9.67 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
103
3.79 IPS |
|
|
Text Classification (SP)
|
100% |
236
314.4 IPS |
|
|
Text Classification (HP)
|
29% |
8
146.0 IPS |
|
|
Text Classification (Q)
|
29% |
8
145.8 IPS |
|
|
Machine Translation (SP)
|
100% |
229
3.94 IPS |
|
|
Machine Translation (HP)
|
0% |
0
0.44 IPS |
|
|
Machine Translation (Q)
|
0% |
0
0.46 IPS |
