MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
4148
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 28 2024 04:59 AM |
| Views | 10 |
| Notes | MacBook Pro (16-inch, Nov 2023)/M3 Pro 12Core CPU/18Core GPU |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| 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 | 4.05 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% |
1630
305.1 IPS |
|
|
Image Classification (F16)
|
100% |
2098
392.6 IPS |
|
|
Image Classification (I8)
|
99% |
2105
393.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1058
17.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1022
17.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1025
17.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
8325
10.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
16340
19.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
16326
19.8 IPS |
|
|
Object Detection (F32)
|
100% |
1675
125.0 IPS |
|
|
Object Detection (F16)
|
100% |
2263
169.0 IPS |
|
|
Object Detection (I8)
|
97% |
1676
125.1 IPS |
|
|
Face Detection (F32)
|
100% |
3301
39.2 IPS |
|
|
Face Detection (F16)
|
97% |
5050
60.1 IPS |
|
|
Face Detection (I8)
|
97% |
4972
59.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
6694
51.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
9659
74.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
9641
74.8 IPS |
|
|
Style Transfer (F32)
|
100% |
21136
27.8 IPS |
|
|
Style Transfer (F16)
|
100% |
30815
40.5 IPS |
|
|
Style Transfer (I8)
|
100% |
30856
40.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5151
184.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5890
210.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5917
211.3 IPS |
|
|
Text Classification (F32)
|
100% |
2587
3.72 KIPS |
|
|
Text Classification (F16)
|
100% |
4229
6.08 KIPS |
|
|
Text Classification (I8)
|
96% |
4177
6.00 KIPS |
|
|
Machine Translation (F32)
|
100% |
1452
26.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1706
31.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1454
26.8 IPS |
