MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
11711
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | tifreitas |
| Upload Date | November 05 2024 12:34 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
4064
760.6 IPS |
|
|
Image Classification (F16)
|
100% |
13067
2.45 KIPS |
|
|
Image Classification (I8)
|
99% |
15501
2.90 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1682
28.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
2667
44.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
2566
42.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
23664
28.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
108457
131.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
111287
134.8 IPS |
|
|
Object Detection (F32)
|
100% |
3362
251.0 IPS |
|
|
Object Detection (F16)
|
100% |
6968
520.2 IPS |
|
|
Object Detection (I8)
|
97% |
3174
237.0 IPS |
|
|
Face Detection (F32)
|
100% |
10615
126.2 IPS |
|
|
Face Detection (F16)
|
97% |
22194
263.9 IPS |
|
|
Face Detection (I8)
|
96% |
22272
264.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
18124
140.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
58516
453.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
59548
461.8 IPS |
|
|
Style Transfer (F32)
|
100% |
50706
66.7 IPS |
|
|
Style Transfer (F16)
|
100% |
160872
211.6 IPS |
|
|
Style Transfer (I8)
|
100% |
161685
212.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8539
305.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
40170
1.43 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
39440
1.41 KIPS |
|
|
Text Classification (F32)
|
100% |
2663
3.83 KIPS |
|
|
Text Classification (F16)
|
100% |
4762
6.84 KIPS |
|
|
Text Classification (I8)
|
96% |
4812
6.92 KIPS |
|
|
Machine Translation (F32)
|
100% |
1015
18.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1665
30.6 IPS |
|
|
Machine Translation (I8)
|
99% |
933
17.2 IPS |
