MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
4103
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 28 2024 04:30 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,10 |
| Motherboard | Mac15,10 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 3.59 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 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% |
1679
314.3 IPS |
|
|
Image Classification (F16)
|
100% |
2008
375.7 IPS |
|
|
Image Classification (I8)
|
99% |
2019
377.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1060
17.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1043
17.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1044
17.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
8362
10.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
15787
19.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
16063
19.5 IPS |
|
|
Object Detection (F32)
|
100% |
1689
126.1 IPS |
|
|
Object Detection (F16)
|
100% |
2254
168.3 IPS |
|
|
Object Detection (I8)
|
97% |
1713
127.9 IPS |
|
|
Face Detection (F32)
|
100% |
3449
41.0 IPS |
|
|
Face Detection (F16)
|
97% |
4998
59.4 IPS |
|
|
Face Detection (I8)
|
97% |
5021
59.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
6755
52.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
9778
75.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
9765
75.7 IPS |
|
|
Style Transfer (F32)
|
100% |
19723
25.9 IPS |
|
|
Style Transfer (F16)
|
100% |
28548
37.6 IPS |
|
|
Style Transfer (I8)
|
100% |
28501
37.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5138
183.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5361
191.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5283
188.7 IPS |
|
|
Text Classification (F32)
|
100% |
2509
3.61 KIPS |
|
|
Text Classification (F16)
|
100% |
4197
6.03 KIPS |
|
|
Text Classification (I8)
|
96% |
4647
6.68 KIPS |
|
|
Machine Translation (F32)
|
100% |
1408
25.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1744
32.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1454
26.8 IPS |
