MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
7605
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 07 2024 06:27 PM |
| Views | 10 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| 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 | 36.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5565
1.04 KIPS |
|
|
Image Classification (F16)
|
100% |
5814
1.09 KIPS |
|
|
Image Classification (I8)
|
99% |
5289
989.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
2143
35.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
2176
36.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
2271
37.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
41694
50.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
46040
55.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
43753
53.0 IPS |
|
|
Object Detection (F32)
|
100% |
3377
252.1 IPS |
|
|
Object Detection (F16)
|
100% |
4539
338.9 IPS |
|
|
Object Detection (I8)
|
97% |
4103
306.3 IPS |
|
|
Face Detection (F32)
|
100% |
14919
177.4 IPS |
|
|
Face Detection (F16)
|
98% |
17941
213.3 IPS |
|
|
Face Detection (I8)
|
97% |
17298
205.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
26005
201.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
29315
227.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
27742
215.1 IPS |
|
|
Style Transfer (F32)
|
100% |
88027
115.8 IPS |
|
|
Style Transfer (F16)
|
100% |
100043
131.6 IPS |
|
|
Style Transfer (I8)
|
100% |
99336
130.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11293
403.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10968
391.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
11617
414.9 IPS |
|
|
Text Classification (F32)
|
100% |
506
727.2 IPS |
|
|
Text Classification (F16)
|
100% |
628
902.0 IPS |
|
|
Text Classification (I8)
|
96% |
610
876.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1083
19.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1106
20.4 IPS |
|
|
Machine Translation (I8)
|
99% |
991
18.2 IPS |
