MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
7706
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | piton06curl |
| Upload Date | September 12 2024 05:38 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,7 |
| Motherboard | Mac15,7 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 6 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% |
5666
1.06 KIPS |
|
|
Image Classification (F16)
|
100% |
6007
1.12 KIPS |
|
|
Image Classification (I8)
|
99% |
5280
988.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
2221
37.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
2397
40.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
2379
39.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
42779
51.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
46136
55.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
44695
54.1 IPS |
|
|
Object Detection (F32)
|
100% |
3611
269.6 IPS |
|
|
Object Detection (F16)
|
100% |
4557
340.2 IPS |
|
|
Object Detection (I8)
|
97% |
3878
289.5 IPS |
|
|
Face Detection (F32)
|
100% |
15170
180.4 IPS |
|
|
Face Detection (F16)
|
98% |
18481
219.7 IPS |
|
|
Face Detection (I8)
|
97% |
18140
215.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
26437
205.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
29798
231.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
27400
212.5 IPS |
|
|
Style Transfer (F32)
|
100% |
89092
117.2 IPS |
|
|
Style Transfer (F16)
|
100% |
100388
132.1 IPS |
|
|
Style Transfer (I8)
|
100% |
99659
131.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10227
365.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10936
390.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
10018
357.8 IPS |
|
|
Text Classification (F32)
|
100% |
533
766.2 IPS |
|
|
Text Classification (F16)
|
100% |
648
930.9 IPS |
|
|
Text Classification (I8)
|
96% |
665
955.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1105
20.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1105
20.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1026
18.9 IPS |
