MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
9873
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 08 2024 03:50 AM |
| Views | 10 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 11 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 5 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 | 36.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5064
947.6 IPS |
|
|
Image Classification (F16)
|
100% |
7101
1.33 KIPS |
|
|
Image Classification (I8)
|
99% |
7898
1.48 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2007
33.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2126
35.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
2155
36.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
33374
40.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
94927
115.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
96547
116.9 IPS |
|
|
Object Detection (F32)
|
100% |
4139
309.0 IPS |
|
|
Object Detection (F16)
|
100% |
4649
347.0 IPS |
|
|
Object Detection (I8)
|
97% |
3816
284.9 IPS |
|
|
Face Detection (F32)
|
100% |
13700
162.9 IPS |
|
|
Face Detection (F16)
|
97% |
12285
146.1 IPS |
|
|
Face Detection (I8)
|
96% |
12673
150.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
21987
170.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
47053
364.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
43695
338.9 IPS |
|
|
Style Transfer (F32)
|
100% |
74095
97.5 IPS |
|
|
Style Transfer (F16)
|
100% |
146389
192.6 IPS |
|
|
Style Transfer (I8)
|
100% |
147476
194.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10180
363.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16711
596.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
20342
726.5 IPS |
|
|
Text Classification (F32)
|
100% |
516
741.5 IPS |
|
|
Text Classification (F16)
|
100% |
3641
5.23 KIPS |
|
|
Text Classification (I8)
|
96% |
3742
5.38 KIPS |
|
|
Machine Translation (F32)
|
100% |
1059
19.5 IPS |
|
|
Machine Translation (F16)
|
100% |
3044
56.0 IPS |
|
|
Machine Translation (I8)
|
99% |
962
17.7 IPS |
