MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
4154
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 16 2024 06:19 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1652
309.1 IPS |
|
|
Image Classification (F16)
|
100% |
2108
394.4 IPS |
|
|
Image Classification (I8)
|
99% |
2109
394.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1065
17.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1016
17.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1017
17.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
8296
10.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
16372
19.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
16366
19.8 IPS |
|
|
Object Detection (F32)
|
100% |
1695
126.6 IPS |
|
|
Object Detection (F16)
|
100% |
2271
169.6 IPS |
|
|
Object Detection (I8)
|
97% |
1696
126.6 IPS |
|
|
Face Detection (F32)
|
100% |
3316
39.4 IPS |
|
|
Face Detection (F16)
|
97% |
4990
59.3 IPS |
|
|
Face Detection (I8)
|
97% |
5015
59.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
6716
52.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
9626
74.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
9608
74.5 IPS |
|
|
Style Transfer (F32)
|
100% |
20958
27.6 IPS |
|
|
Style Transfer (F16)
|
100% |
30486
40.1 IPS |
|
|
Style Transfer (I8)
|
100% |
30472
40.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5190
185.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5889
210.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6256
223.4 IPS |
|
|
Text Classification (F32)
|
100% |
2582
3.71 KIPS |
|
|
Text Classification (F16)
|
100% |
4141
5.95 KIPS |
|
|
Text Classification (I8)
|
96% |
4149
5.96 KIPS |
|
|
Machine Translation (F32)
|
100% |
1453
26.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1704
31.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1454
26.8 IPS |
