Mac Pro (Late 2013)
Geekbench ML Score
328
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS x86 (64-bit)
Result Information
| Upload Date | September 23 2024 07:27 PM |
| 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
48.8 IPS |
|
|
Image Classification (F16)
|
100% |
188
35.1 IPS |
|
|
Image Classification (I8)
|
99% |
188
35.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
254
4.24 IPS |
|
|
Image Segmentation (F16)
|
100% |
131
2.18 IPS |
|
|
Image Segmentation (I8)
|
100% |
131
2.18 IPS |
|
|
Pose Estimation (F32)
|
100% |
1456
1.76 IPS |
|
|
Pose Estimation (F16)
|
100% |
436
0.53 IPS |
|
|
Pose Estimation (I8)
|
100% |
434
0.53 IPS |
|
|
Object Detection (F32)
|
100% |
299
22.3 IPS |
|
|
Object Detection (F16)
|
100% |
220
16.4 IPS |
|
|
Object Detection (I8)
|
97% |
298
22.3 IPS |
|
|
Face Detection (F32)
|
100% |
688
8.18 IPS |
|
|
Face Detection (F16)
|
98% |
453
5.38 IPS |
|
|
Face Detection (I8)
|
97% |
454
5.40 IPS |
|
|
Depth Estimation (F32)
|
100% |
770
5.97 IPS |
|
|
Depth Estimation (F16)
|
100% |
369
2.86 IPS |
|
|
Depth Estimation (I8)
|
99% |
370
2.87 IPS |
|
|
Style Transfer (F32)
|
100% |
2168
2.85 IPS |
|
|
Style Transfer (F16)
|
100% |
1153
1.52 IPS |
|
|
Style Transfer (I8)
|
100% |
1153
1.52 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
840
30.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
269
9.62 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
270
9.64 IPS |
|
|
Text Classification (F32)
|
100% |
218
313.1 IPS |
|
|
Text Classification (F16)
|
36% |
101
145.6 IPS |
|
|
Text Classification (I8)
|
36% |
101
145.6 IPS |
|
|
Machine Translation (F32)
|
100% |
172
3.17 IPS |
|
|
Machine Translation (F16)
|
0% |
84
1.55 IPS |
|
|
Machine Translation (I8)
|
99% |
172
3.16 IPS |
