MacPro6,1
Geekbench AI Score
569
Single Precision Score
99
Half Precision Score
57
Quantized Score
Geekbench AI 1.1.0 for macOS x86 (64-bit)
Result Information
| User | MacProX2013 |
| Upload Date | September 10 2024 12:03 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Xeon E5-2667 v2 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacPro6,1 |
| Model ID | MacPro6,1 |
| Motherboard | Apple Inc. Mac-F60DEB81FF30ACF6 MacPro6,1 |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2667 v2 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Transfer Rate | 1866 MT/s |
| Type | DDR3 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
284
52.8 IPS |
|
|
Image Classification (HP)
|
100% |
87
16.1 IPS |
|
|
Image Classification (Q)
|
96% |
38
7.16 IPS |
|
|
Image Segmentation (SP)
|
100% |
325
5.27 IPS |
|
|
Image Segmentation (HP)
|
100% |
64
1.04 IPS |
|
|
Image Segmentation (Q)
|
99% |
41
0.66 IPS |
|
|
Pose Estimation (SP)
|
100% |
1803
2.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
795
0.93 IPS |
|
|
Pose Estimation (Q)
|
96% |
493
0.58 IPS |
|
|
Object Detection (SP)
|
100% |
273
21.6 IPS |
|
|
Object Detection (HP)
|
100% |
101
8.04 IPS |
|
|
Object Detection (Q)
|
92% |
47
3.75 IPS |
|
|
Face Detection (SP)
|
100% |
633
7.52 IPS |
|
|
Face Detection (HP)
|
100% |
165
1.96 IPS |
|
|
Face Detection (Q)
|
100% |
63
0.75 IPS |
|
|
Depth Estimation (SP)
|
100% |
851
6.56 IPS |
|
|
Depth Estimation (HP)
|
99% |
228
1.75 IPS |
|
|
Depth Estimation (Q)
|
86% |
139
1.08 IPS |
|
|
Style Transfer (SP)
|
100% |
2208
2.84 IPS |
|
|
Style Transfer (HP)
|
100% |
936
1.20 IPS |
|
|
Style Transfer (Q)
|
96% |
615
0.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
909
33.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
304
11.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
113
4.16 IPS |
|
|
Text Classification (SP)
|
100% |
274
366.2 IPS |
|
|
Text Classification (HP)
|
36% |
19
161.1 IPS |
|
|
Text Classification (Q)
|
36% |
19
160.4 IPS |
|
|
Machine Translation (SP)
|
100% |
268
4.62 IPS |
|
|
Machine Translation (HP)
|
0% |
0
2.18 IPS |
|
|
Machine Translation (Q)
|
0% |
0
1.78 IPS |
