MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
9890
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | mrdbourke |
| Upload Date | December 14 2023 01:34 AM |
| Views | 85 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.2 (Build 23C64) |
| 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4804
899.0 IPS |
|
|
Image Classification (F16)
|
100% |
7295
1.37 KIPS |
|
|
Image Classification (I8)
|
99% |
7988
1.49 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1850
30.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2030
33.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
2071
34.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
33044
40.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
95981
116.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
95988
116.2 IPS |
|
|
Object Detection (F32)
|
100% |
3442
257.0 IPS |
|
|
Object Detection (F16)
|
100% |
5694
425.1 IPS |
|
|
Object Detection (I8)
|
97% |
3838
286.5 IPS |
|
|
Face Detection (F32)
|
100% |
14589
173.5 IPS |
|
|
Face Detection (F16)
|
97% |
15193
180.7 IPS |
|
|
Face Detection (I8)
|
96% |
13264
157.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
22354
173.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
43910
340.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
47031
364.7 IPS |
|
|
Style Transfer (F32)
|
100% |
73890
97.2 IPS |
|
|
Style Transfer (F16)
|
100% |
147092
193.5 IPS |
|
|
Style Transfer (I8)
|
100% |
147643
194.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9907
353.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17860
637.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
19904
710.8 IPS |
|
|
Text Classification (F32)
|
100% |
417
599.4 IPS |
|
|
Text Classification (F16)
|
100% |
3890
5.59 KIPS |
|
|
Text Classification (I8)
|
96% |
4144
5.96 KIPS |
|
|
Machine Translation (F32)
|
100% |
1026
18.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2900
53.4 IPS |
|
|
Machine Translation (I8)
|
99% |
941
17.3 IPS |
