Mac Pro (Late 2013)
Geekbench ML Score
1405
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS x86 (64-bit)
Result Information
| Upload Date | September 22 2024 02:11 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1061
198.5 IPS |
|
|
Image Classification (F16)
|
100% |
1081
202.3 IPS |
|
|
Image Classification (I8)
|
99% |
1080
202.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
301
5.02 IPS |
|
|
Image Segmentation (F16)
|
100% |
281
4.69 IPS |
|
|
Image Segmentation (I8)
|
100% |
283
4.72 IPS |
|
|
Pose Estimation (F32)
|
100% |
6993
8.47 IPS |
|
|
Pose Estimation (F16)
|
100% |
7170
8.68 IPS |
|
|
Pose Estimation (I8)
|
100% |
7165
8.68 IPS |
|
|
Object Detection (F32)
|
100% |
961
71.8 IPS |
|
|
Object Detection (F16)
|
100% |
956
71.4 IPS |
|
|
Object Detection (I8)
|
97% |
961
71.8 IPS |
|
|
Face Detection (F32)
|
100% |
4066
48.3 IPS |
|
|
Face Detection (F16)
|
98% |
4066
48.3 IPS |
|
|
Face Detection (I8)
|
97% |
4093
48.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
4924
38.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
4716
36.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
4409
34.2 IPS |
|
|
Style Transfer (F32)
|
100% |
10051
13.2 IPS |
|
|
Style Transfer (F16)
|
100% |
10627
14.0 IPS |
|
|
Style Transfer (I8)
|
100% |
10398
13.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1385
49.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1416
50.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1417
50.6 IPS |
|
|
Text Classification (F32)
|
100% |
222
318.9 IPS |
|
|
Text Classification (F16)
|
100% |
228
327.3 IPS |
|
|
Text Classification (I8)
|
96% |
188
270.0 IPS |
|
|
Machine Translation (F32)
|
100% |
245
4.50 IPS |
|
|
Machine Translation (F16)
|
100% |
237
4.36 IPS |
|
|
Machine Translation (I8)
|
99% |
246
4.52 IPS |
