Mac Pro (Late 2019)
Geekbench ML Score
716
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| Upload Date | July 27 2024 01:45 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| Model | Mac Pro (Late 2019) |
| Model ID | MacPro7,1 |
| Motherboard | Apple Inc. Mac-27AD2F918AE68F61 MacPro7,1 |
| CPU Information | |
|---|---|
| Name | Intel Xeon W-3275M |
| Topology | 1 Processor, 28 Cores, 56 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 7 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 28 Cores |
| L1 Instruction Cache | 32.0 KB x 28 |
| L1 Data Cache | 32.0 KB x 28 |
| L2 Cache | 1.00 MB x 28 |
| L3 Cache | 38.5 MB x 1 |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
| Transfer Rate | 2933 MT/s |
| Type | DDR4 |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
426
79.8 IPS |
|
|
Image Classification (F16)
|
100% |
263
49.2 IPS |
|
|
Image Classification (I8)
|
99% |
262
49.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
386
6.44 IPS |
|
|
Image Segmentation (F16)
|
100% |
242
4.04 IPS |
|
|
Image Segmentation (I8)
|
100% |
241
4.03 IPS |
|
|
Pose Estimation (F32)
|
100% |
3056
3.70 IPS |
|
|
Pose Estimation (F16)
|
100% |
2933
3.55 IPS |
|
|
Pose Estimation (I8)
|
100% |
2984
3.61 IPS |
|
|
Object Detection (F32)
|
100% |
429
32.1 IPS |
|
|
Object Detection (F16)
|
100% |
316
23.6 IPS |
|
|
Object Detection (I8)
|
97% |
429
32.1 IPS |
|
|
Face Detection (F32)
|
100% |
910
10.8 IPS |
|
|
Face Detection (F16)
|
98% |
684
8.14 IPS |
|
|
Face Detection (I8)
|
97% |
682
8.11 IPS |
|
|
Depth Estimation (F32)
|
100% |
1187
9.20 IPS |
|
|
Depth Estimation (F16)
|
100% |
925
7.17 IPS |
|
|
Depth Estimation (I8)
|
99% |
915
7.09 IPS |
|
|
Style Transfer (F32)
|
100% |
4486
5.90 IPS |
|
|
Style Transfer (F16)
|
100% |
6042
7.95 IPS |
|
|
Style Transfer (I8)
|
100% |
6045
7.95 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
819
29.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
656
23.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
640
22.9 IPS |
|
|
Text Classification (F32)
|
100% |
632
908.4 IPS |
|
|
Text Classification (F16)
|
100% |
350
503.3 IPS |
|
|
Text Classification (I8)
|
96% |
351
503.7 IPS |
|
|
Machine Translation (F32)
|
100% |
283
5.21 IPS |
|
|
Machine Translation (F16)
|
100% |
303
5.58 IPS |
|
|
Machine Translation (I8)
|
99% |
281
5.16 IPS |
