MacBook Pro (14-inch, 2023)
Geekbench ML Score
3447
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 27 2024 08:46 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| Model | MacBook Pro (14-inch, 2023) |
| Model ID | Mac14,9 |
| Motherboard | Mac14,9 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.48 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1453
272.0 IPS |
|
|
Image Classification (F16)
|
100% |
1780
333.1 IPS |
|
|
Image Classification (I8)
|
99% |
1789
334.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
883
14.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
885
14.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
882
14.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
6116
7.41 IPS |
|
|
Pose Estimation (F16)
|
100% |
13988
16.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
14146
17.1 IPS |
|
|
Object Detection (F32)
|
100% |
1476
110.2 IPS |
|
|
Object Detection (F16)
|
100% |
1955
146.0 IPS |
|
|
Object Detection (I8)
|
97% |
1484
110.8 IPS |
|
|
Face Detection (F32)
|
100% |
2968
35.3 IPS |
|
|
Face Detection (F16)
|
97% |
4281
50.9 IPS |
|
|
Face Detection (I8)
|
97% |
4283
50.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5492
42.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
8598
66.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
8587
66.6 IPS |
|
|
Style Transfer (F32)
|
100% |
16466
21.7 IPS |
|
|
Style Transfer (F16)
|
100% |
26124
34.4 IPS |
|
|
Style Transfer (I8)
|
100% |
26146
34.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3903
139.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4868
173.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4885
174.4 IPS |
|
|
Text Classification (F32)
|
100% |
2055
2.95 KIPS |
|
|
Text Classification (F16)
|
100% |
3054
4.39 KIPS |
|
|
Text Classification (I8)
|
96% |
3019
4.34 KIPS |
|
|
Machine Translation (F32)
|
100% |
1099
20.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1548
28.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1085
20.0 IPS |
