MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
4177
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | piton06curl |
| Upload Date | September 12 2024 05:32 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
1655
309.6 IPS |
|
|
Image Classification (F16)
|
100% |
2101
393.1 IPS |
|
|
Image Classification (I8)
|
99% |
2104
393.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1078
18.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1039
17.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1049
17.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
8279
10.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
16387
19.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
16376
19.8 IPS |
|
|
Object Detection (F32)
|
100% |
1689
126.1 IPS |
|
|
Object Detection (F16)
|
100% |
2270
169.5 IPS |
|
|
Object Detection (I8)
|
97% |
1694
126.4 IPS |
|
|
Face Detection (F32)
|
100% |
3325
39.5 IPS |
|
|
Face Detection (F16)
|
97% |
5049
60.0 IPS |
|
|
Face Detection (I8)
|
97% |
5032
59.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
6700
52.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
9603
74.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
9605
74.5 IPS |
|
|
Style Transfer (F32)
|
100% |
21039
27.7 IPS |
|
|
Style Transfer (F16)
|
100% |
31000
40.8 IPS |
|
|
Style Transfer (I8)
|
100% |
30964
40.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5160
184.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6045
215.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6280
224.3 IPS |
|
|
Text Classification (F32)
|
100% |
2600
3.74 KIPS |
|
|
Text Classification (F16)
|
100% |
4152
5.97 KIPS |
|
|
Text Classification (I8)
|
96% |
4181
6.01 KIPS |
|
|
Machine Translation (F32)
|
100% |
1462
26.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1711
31.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1463
26.9 IPS |
