MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
9450
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | mrdbourke |
| Upload Date | December 21 2023 01:27 AM |
| Views | 96 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.2 (Build 23C64) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,10 |
| Motherboard | Mac15,10 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 10 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 | 36.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6322
1.18 KIPS |
|
|
Image Classification (F16)
|
100% |
6767
1.27 KIPS |
|
|
Image Classification (I8)
|
99% |
7357
1.38 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2167
36.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
2138
35.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
2172
36.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
62463
75.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
90627
109.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
91507
110.8 IPS |
|
|
Object Detection (F32)
|
100% |
4761
355.5 IPS |
|
|
Object Detection (F16)
|
100% |
3832
286.1 IPS |
|
|
Object Detection (I8)
|
97% |
4667
348.4 IPS |
|
|
Face Detection (F32)
|
100% |
21127
251.2 IPS |
|
|
Face Detection (F16)
|
97% |
14866
176.8 IPS |
|
|
Face Detection (I8)
|
96% |
14295
170.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
29913
232.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
37699
292.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
34496
267.5 IPS |
|
|
Style Transfer (F32)
|
100% |
129539
170.4 IPS |
|
|
Style Transfer (F16)
|
100% |
141602
186.3 IPS |
|
|
Style Transfer (I8)
|
100% |
141325
185.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10012
357.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16687
595.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
17497
624.9 IPS |
|
|
Text Classification (F32)
|
100% |
1257
1.81 KIPS |
|
|
Text Classification (F16)
|
100% |
603
866.7 IPS |
|
|
Text Classification (I8)
|
96% |
885
1.27 KIPS |
|
|
Machine Translation (F32)
|
100% |
1182
21.8 IPS |
|
|
Machine Translation (F16)
|
99% |
1173
21.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1066
19.6 IPS |
