MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
4542
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 01 2024 08:14 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5298h) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,7 |
| Motherboard | Mac15,7 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 3.98 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1521
284.6 IPS |
|
|
Image Classification (F16)
|
100% |
2705
506.2 IPS |
|
|
Image Classification (I8)
|
99% |
2728
510.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1100
18.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1387
23.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1387
23.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
8417
10.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
16383
19.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
16443
19.9 IPS |
|
|
Object Detection (F32)
|
100% |
1677
125.2 IPS |
|
|
Object Detection (F16)
|
100% |
2683
200.3 IPS |
|
|
Object Detection (I8)
|
97% |
1677
125.2 IPS |
|
|
Face Detection (F32)
|
100% |
3586
42.6 IPS |
|
|
Face Detection (F16)
|
97% |
6096
72.5 IPS |
|
|
Face Detection (I8)
|
97% |
6147
73.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
7036
54.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
13114
101.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
13152
102.0 IPS |
|
|
Style Transfer (F32)
|
100% |
21579
28.4 IPS |
|
|
Style Transfer (F16)
|
100% |
32635
42.9 IPS |
|
|
Style Transfer (I8)
|
100% |
32636
42.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5357
191.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6154
219.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6130
218.9 IPS |
|
|
Text Classification (F32)
|
100% |
2543
3.65 KIPS |
|
|
Text Classification (F16)
|
100% |
4387
6.30 KIPS |
|
|
Text Classification (I8)
|
96% |
4365
6.27 KIPS |
|
|
Machine Translation (F32)
|
100% |
1438
26.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1680
30.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1442
26.5 IPS |
