Mac Pro (Late 2013)
Geekbench AI Score
521
Single Precision Score
91
Half Precision Score
72
Quantized Score
Geekbench AI 1.0.0 for macOS x86 (64-bit)
Result Information
| User | Zztony |
| Upload Date | August 26 2024 09:13 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Xeon E5-2697 v2 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
252
46.8 IPS |
|
|
Image Classification (HP)
|
100% |
77
14.2 IPS |
|
|
Image Classification (Q)
|
99% |
76
14.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
327
5.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
58
0.94 IPS |
|
|
Image Segmentation (Q)
|
100% |
58
0.93 IPS |
|
|
Pose Estimation (SP)
|
100% |
1531
1.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
805
0.94 IPS |
|
|
Pose Estimation (Q)
|
95% |
449
0.53 IPS |
|
|
Object Detection (SP)
|
100% |
274
21.7 IPS |
|
|
Object Detection (HP)
|
100% |
94
7.45 IPS |
|
|
Object Detection (Q)
|
92% |
43
3.39 IPS |
|
|
Face Detection (SP)
|
100% |
606
7.20 IPS |
|
|
Face Detection (HP)
|
100% |
147
1.74 IPS |
|
|
Face Detection (Q)
|
100% |
56
0.67 IPS |
|
|
Depth Estimation (SP)
|
100% |
777
5.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
206
1.59 IPS |
|
|
Depth Estimation (Q)
|
97% |
527
4.08 IPS |
|
|
Style Transfer (SP)
|
100% |
2301
2.96 IPS |
|
|
Style Transfer (HP)
|
100% |
902
1.16 IPS |
|
|
Style Transfer (Q)
|
100% |
904
1.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
740
27.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
273
10.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
99
3.67 IPS |
|
|
Text Classification (SP)
|
100% |
238
318.2 IPS |
|
|
Text Classification (HP)
|
36% |
17
143.0 IPS |
|
|
Text Classification (Q)
|
36% |
17
142.8 IPS |
|
|
Machine Translation (SP)
|
100% |
225
3.87 IPS |
|
|
Machine Translation (HP)
|
0% |
0
1.86 IPS |
|
|
Machine Translation (Q)
|
0% |
0
1.53 IPS |
