Mac Pro (Late 2013)
Geekbench AI Score
544
Single Precision Score
127
Half Precision Score
58
Quantized Score
Geekbench AI 1.1.0 for macOS x86 (64-bit)
Result Information
| User | gabaynes |
| Upload Date | September 18 2024 11:13 PM |
| Views | 3 |
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% |
187
34.7 IPS |
|
|
Image Classification (Q)
|
96% |
46
8.67 IPS |
|
|
Image Segmentation (SP)
|
100% |
379
6.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
160
2.59 IPS |
|
|
Image Segmentation (Q)
|
99% |
69
1.12 IPS |
|
|
Pose Estimation (SP)
|
100% |
1504
1.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
453
0.53 IPS |
|
|
Pose Estimation (Q)
|
96% |
326
0.38 IPS |
|
|
Object Detection (SP)
|
100% |
301
23.8 IPS |
|
|
Object Detection (HP)
|
100% |
215
17.0 IPS |
|
|
Object Detection (Q)
|
92% |
58
4.66 IPS |
|
|
Face Detection (SP)
|
100% |
708
8.41 IPS |
|
|
Face Detection (HP)
|
100% |
448
5.33 IPS |
|
|
Face Detection (Q)
|
100% |
78
0.92 IPS |
|
|
Depth Estimation (SP)
|
100% |
765
5.89 IPS |
|
|
Depth Estimation (HP)
|
99% |
369
2.84 IPS |
|
|
Depth Estimation (Q)
|
85% |
167
1.31 IPS |
|
|
Style Transfer (SP)
|
100% |
2264
2.91 IPS |
|
|
Style Transfer (HP)
|
100% |
1166
1.50 IPS |
|
|
Style Transfer (Q)
|
96% |
698
0.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
788
29.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
259
9.57 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
101
3.74 IPS |
|
|
Text Classification (SP)
|
100% |
234
312.0 IPS |
|
|
Text Classification (HP)
|
29% |
8
144.2 IPS |
|
|
Text Classification (Q)
|
29% |
8
143.7 IPS |
|
|
Machine Translation (SP)
|
100% |
227
3.90 IPS |
|
|
Machine Translation (HP)
|
0% |
0
0.44 IPS |
|
|
Machine Translation (Q)
|
0% |
0
0.45 IPS |
