Mac Pro (Late 2013)
Geekbench AI Score
462
Single Precision Score
86
Half Precision Score
70
Quantized Score
Geekbench AI 1.0.0 for macOS x86 (64-bit)
Result Information
| User | kdw4gb |
| Upload Date | August 19 2024 09:56 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Xeon E5-1650 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 E5-1650 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 | 32.00 GB |
| Transfer Rate | 1866 MT/s |
| Type | DDR3 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
245
45.6 IPS |
|
|
Image Classification (HP)
|
100% |
80
14.9 IPS |
|
|
Image Classification (Q)
|
99% |
80
14.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
272
4.40 IPS |
|
|
Image Segmentation (HP)
|
100% |
59
0.96 IPS |
|
|
Image Segmentation (Q)
|
100% |
59
0.96 IPS |
|
|
Pose Estimation (SP)
|
100% |
1241
1.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
592
0.69 IPS |
|
|
Pose Estimation (Q)
|
95% |
386
0.45 IPS |
|
|
Object Detection (SP)
|
100% |
236
18.7 IPS |
|
|
Object Detection (HP)
|
100% |
94
7.45 IPS |
|
|
Object Detection (Q)
|
92% |
45
3.55 IPS |
|
|
Face Detection (SP)
|
100% |
519
6.17 IPS |
|
|
Face Detection (HP)
|
100% |
151
1.79 IPS |
|
|
Face Detection (Q)
|
100% |
59
0.71 IPS |
|
|
Depth Estimation (SP)
|
100% |
640
4.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
202
1.56 IPS |
|
|
Depth Estimation (Q)
|
97% |
462
3.57 IPS |
|
|
Style Transfer (SP)
|
100% |
1714
2.20 IPS |
|
|
Style Transfer (HP)
|
100% |
776
1.00 IPS |
|
|
Style Transfer (Q)
|
100% |
799
1.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
603
22.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
209
7.74 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
94
3.47 IPS |
|
|
Text Classification (SP)
|
100% |
263
350.4 IPS |
|
|
Text Classification (HP)
|
36% |
18
155.9 IPS |
|
|
Text Classification (Q)
|
36% |
18
155.7 IPS |
|
|
Machine Translation (SP)
|
100% |
255
4.40 IPS |
|
|
Machine Translation (HP)
|
0% |
0
2.09 IPS |
|
|
Machine Translation (Q)
|
0% |
0
1.71 IPS |
