MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
7328
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 16 2024 06:21 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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 | 4.05 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 | 18.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4998
935.2 IPS |
|
|
Image Classification (F16)
|
100% |
5328
997.0 IPS |
|
|
Image Classification (I8)
|
99% |
4651
870.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
2189
36.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2269
37.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
2291
38.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
33340
40.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
34966
42.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
34187
41.4 IPS |
|
|
Object Detection (F32)
|
100% |
4097
305.9 IPS |
|
|
Object Detection (F16)
|
100% |
4251
317.4 IPS |
|
|
Object Detection (I8)
|
97% |
3816
284.9 IPS |
|
|
Face Detection (F32)
|
100% |
14359
170.7 IPS |
|
|
Face Detection (F16)
|
98% |
16855
200.4 IPS |
|
|
Face Detection (I8)
|
97% |
16318
194.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
22342
173.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
24039
186.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
22231
172.4 IPS |
|
|
Style Transfer (F32)
|
100% |
73537
96.7 IPS |
|
|
Style Transfer (F16)
|
100% |
81932
107.8 IPS |
|
|
Style Transfer (I8)
|
100% |
82279
108.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11700
417.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10165
363.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
11846
423.0 IPS |
|
|
Text Classification (F32)
|
100% |
749
1.08 KIPS |
|
|
Text Classification (F16)
|
100% |
901
1.30 KIPS |
|
|
Text Classification (I8)
|
96% |
902
1.30 KIPS |
|
|
Machine Translation (F32)
|
100% |
1061
19.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1123
20.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1002
18.4 IPS |
