MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
11296
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 15 2024 05:10 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6 (Build 23G80) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,9 |
| Motherboard | Mac15,9 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.03 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 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 | 128.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
7072
1.32 KIPS |
|
|
Image Classification (F16)
|
100% |
6931
1.30 KIPS |
|
|
Image Classification (I8)
|
99% |
6991
1.31 KIPS |
|
|
Image Segmentation (F32)
|
100% |
3021
50.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2466
41.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
2471
41.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
83685
101.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
88574
107.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
90956
110.1 IPS |
|
|
Object Detection (F32)
|
100% |
5052
377.2 IPS |
|
|
Object Detection (F16)
|
100% |
4259
317.9 IPS |
|
|
Object Detection (I8)
|
97% |
5056
377.5 IPS |
|
|
Face Detection (F32)
|
100% |
24591
292.4 IPS |
|
|
Face Detection (F16)
|
97% |
12045
143.2 IPS |
|
|
Face Detection (I8)
|
96% |
12106
143.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
35778
277.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
35022
271.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
37490
290.7 IPS |
|
|
Style Transfer (F32)
|
100% |
159671
210.0 IPS |
|
|
Style Transfer (F16)
|
100% |
140098
184.3 IPS |
|
|
Style Transfer (I8)
|
100% |
142128
187.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
16408
586.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16702
596.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
17244
615.8 IPS |
|
|
Text Classification (F32)
|
100% |
1387
1.99 KIPS |
|
|
Text Classification (F16)
|
100% |
2561
3.68 KIPS |
|
|
Text Classification (I8)
|
96% |
2361
3.39 KIPS |
|
|
Machine Translation (F32)
|
100% |
1120
20.6 IPS |
|
|
Machine Translation (F16)
|
100% |
3373
62.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1045
19.2 IPS |
