Mac Pro (Late 2013)
Geekbench ML Score
317
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS x86 (64-bit)
Result Information
| Upload Date | September 22 2024 02:04 AM |
| Views | 2 |
System Information
| 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 |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 32.0 KB x 12 |
| L2 Cache | 256 KB x 12 |
| L3 Cache | 30.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Transfer Rate | 1866 MT/s |
| Type | DDR3 |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
261
48.9 IPS |
|
|
Image Classification (F16)
|
100% |
188
35.2 IPS |
|
|
Image Classification (I8)
|
99% |
188
35.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
253
4.23 IPS |
|
|
Image Segmentation (F16)
|
100% |
130
2.17 IPS |
|
|
Image Segmentation (I8)
|
100% |
130
2.17 IPS |
|
|
Pose Estimation (F32)
|
100% |
1372
1.66 IPS |
|
|
Pose Estimation (F16)
|
100% |
452
0.55 IPS |
|
|
Pose Estimation (I8)
|
100% |
452
0.55 IPS |
|
|
Object Detection (F32)
|
100% |
282
21.0 IPS |
|
|
Object Detection (F16)
|
100% |
206
15.4 IPS |
|
|
Object Detection (I8)
|
97% |
282
21.0 IPS |
|
|
Face Detection (F32)
|
100% |
632
7.52 IPS |
|
|
Face Detection (F16)
|
98% |
413
4.92 IPS |
|
|
Face Detection (I8)
|
97% |
413
4.91 IPS |
|
|
Depth Estimation (F32)
|
100% |
802
6.22 IPS |
|
|
Depth Estimation (F16)
|
100% |
363
2.82 IPS |
|
|
Depth Estimation (I8)
|
99% |
363
2.81 IPS |
|
|
Style Transfer (F32)
|
100% |
2110
2.78 IPS |
|
|
Style Transfer (F16)
|
100% |
1157
1.52 IPS |
|
|
Style Transfer (I8)
|
100% |
1158
1.52 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
796
28.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
263
9.41 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
263
9.40 IPS |
|
|
Text Classification (F32)
|
100% |
197
283.4 IPS |
|
|
Text Classification (F16)
|
36% |
92
131.9 IPS |
|
|
Text Classification (I8)
|
36% |
91
131.3 IPS |
|
|
Machine Translation (F32)
|
100% |
161
2.96 IPS |
|
|
Machine Translation (F16)
|
0% |
79
1.44 IPS |
|
|
Machine Translation (I8)
|
99% |
160
2.95 IPS |
