MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
10542
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | piton06curl |
| Upload Date | September 12 2024 05:40 PM |
| Views | 5 |
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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5640
1.06 KIPS |
|
|
Image Classification (F16)
|
100% |
7039
1.32 KIPS |
|
|
Image Classification (I8)
|
99% |
7803
1.46 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2252
37.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2176
36.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
2116
35.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
42816
51.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
96057
116.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
98164
118.9 IPS |
|
|
Object Detection (F32)
|
100% |
3228
241.0 IPS |
|
|
Object Detection (F16)
|
100% |
4693
350.4 IPS |
|
|
Object Detection (I8)
|
97% |
4050
302.4 IPS |
|
|
Face Detection (F32)
|
100% |
15445
183.6 IPS |
|
|
Face Detection (F16)
|
97% |
12765
151.8 IPS |
|
|
Face Detection (I8)
|
96% |
12774
151.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
26679
206.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
36412
282.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
46681
362.0 IPS |
|
|
Style Transfer (F32)
|
100% |
88821
116.8 IPS |
|
|
Style Transfer (F16)
|
100% |
146968
193.3 IPS |
|
|
Style Transfer (I8)
|
100% |
141242
185.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10817
386.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
20639
737.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
20614
736.2 IPS |
|
|
Text Classification (F32)
|
100% |
1264
1.82 KIPS |
|
|
Text Classification (F16)
|
100% |
3979
5.72 KIPS |
|
|
Text Classification (I8)
|
96% |
3792
5.45 KIPS |
|
|
Machine Translation (F32)
|
100% |
1093
20.1 IPS |
|
|
Machine Translation (F16)
|
100% |
3022
55.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1005
18.5 IPS |
