MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
4610
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | Aech |
| Upload Date | August 21 2024 12:07 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5320a) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1583
296.3 IPS |
|
|
Image Classification (F16)
|
100% |
2729
510.6 IPS |
|
|
Image Classification (I8)
|
99% |
2772
518.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1138
19.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1449
24.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1461
24.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
8552
10.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
16532
20.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
16503
20.0 IPS |
|
|
Object Detection (F32)
|
100% |
1710
127.7 IPS |
|
|
Object Detection (F16)
|
100% |
2731
203.9 IPS |
|
|
Object Detection (I8)
|
97% |
1708
127.5 IPS |
|
|
Face Detection (F32)
|
100% |
3683
43.8 IPS |
|
|
Face Detection (F16)
|
97% |
6537
77.7 IPS |
|
|
Face Detection (I8)
|
97% |
6520
77.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
7168
55.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
13202
102.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
13198
102.3 IPS |
|
|
Style Transfer (F32)
|
100% |
21895
28.8 IPS |
|
|
Style Transfer (F16)
|
100% |
32492
42.7 IPS |
|
|
Style Transfer (I8)
|
100% |
32588
42.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5411
193.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5844
208.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5863
209.4 IPS |
|
|
Text Classification (F32)
|
100% |
2507
3.60 KIPS |
|
|
Text Classification (F16)
|
100% |
4308
6.19 KIPS |
|
|
Text Classification (I8)
|
96% |
4353
6.26 KIPS |
|
|
Machine Translation (F32)
|
100% |
1466
27.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1790
32.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1461
26.9 IPS |
