MacBook Pro (14-inch, 2023)
Geekbench ML Score
3469
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 08 2024 02:50 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| Model | MacBook Pro (14-inch, 2023) |
| Model ID | Mac14,5 |
| Motherboard | Mac14,5 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 8 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1428
267.2 IPS |
|
|
Image Classification (F16)
|
100% |
1772
331.5 IPS |
|
|
Image Classification (I8)
|
99% |
1776
332.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
881
14.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
870
14.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
860
14.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
6037
7.31 IPS |
|
|
Pose Estimation (F16)
|
100% |
14091
17.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
14325
17.3 IPS |
|
|
Object Detection (F32)
|
100% |
1439
107.5 IPS |
|
|
Object Detection (F16)
|
100% |
1990
148.5 IPS |
|
|
Object Detection (I8)
|
97% |
1471
109.8 IPS |
|
|
Face Detection (F32)
|
100% |
2890
34.4 IPS |
|
|
Face Detection (F16)
|
97% |
4229
50.3 IPS |
|
|
Face Detection (I8)
|
97% |
4318
51.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5539
43.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
8507
66.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
8516
66.0 IPS |
|
|
Style Transfer (F32)
|
100% |
16067
21.1 IPS |
|
|
Style Transfer (F16)
|
100% |
26608
35.0 IPS |
|
|
Style Transfer (I8)
|
100% |
26632
35.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3905
139.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5216
186.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5150
183.9 IPS |
|
|
Text Classification (F32)
|
100% |
2149
3.09 KIPS |
|
|
Text Classification (F16)
|
100% |
3072
4.42 KIPS |
|
|
Text Classification (I8)
|
96% |
3024
4.35 KIPS |
|
|
Machine Translation (F32)
|
100% |
1144
21.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1493
27.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1234
22.7 IPS |
