MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
8357
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 28 2024 04:48 AM |
| Views | 5 |
| Notes | MacBook Pro (14-inch, M3, Nov 2023)/M3 8Core CPU/10Core GPU |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,3 |
| Motherboard | Mac15,3 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 4 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 | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4125
771.8 IPS |
|
|
Image Classification (F16)
|
100% |
7213
1.35 KIPS |
|
|
Image Classification (I8)
|
99% |
8078
1.51 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1802
30.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
2096
35.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
2149
35.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
23841
28.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
96951
117.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
97805
118.4 IPS |
|
|
Object Detection (F32)
|
100% |
3120
233.0 IPS |
|
|
Object Detection (F16)
|
100% |
5004
373.6 IPS |
|
|
Object Detection (I8)
|
97% |
3111
232.3 IPS |
|
|
Face Detection (F32)
|
100% |
10457
124.3 IPS |
|
|
Face Detection (F16)
|
97% |
12730
151.4 IPS |
|
|
Face Detection (I8)
|
96% |
12825
152.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
18332
142.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
42467
329.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
47462
368.1 IPS |
|
|
Style Transfer (F32)
|
100% |
50351
66.2 IPS |
|
|
Style Transfer (F16)
|
100% |
148743
195.7 IPS |
|
|
Style Transfer (I8)
|
100% |
148384
195.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8651
309.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
20977
749.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
20373
727.6 IPS |
|
|
Text Classification (F32)
|
100% |
565
812.7 IPS |
|
|
Text Classification (F16)
|
100% |
689
989.6 IPS |
|
|
Text Classification (I8)
|
96% |
688
988.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1036
19.1 IPS |
|
|
Machine Translation (F16)
|
100% |
3411
62.8 IPS |
|
|
Machine Translation (I8)
|
99% |
874
16.1 IPS |
