MacBook Pro (13-inch, 2022)
Geekbench ML Score
3786
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 31 2024 06:39 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5331b) |
| Model | MacBook Pro (13-inch, 2022) |
| Model ID | Mac14,7 |
| Motherboard | Mac14,7 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 4 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 | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1328
248.6 IPS |
|
|
Image Classification (F16)
|
100% |
2402
449.5 IPS |
|
|
Image Classification (I8)
|
99% |
2389
447.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
811
13.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1012
16.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1171
19.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
6254
7.57 IPS |
|
|
Pose Estimation (F16)
|
100% |
13743
16.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
13857
16.8 IPS |
|
|
Object Detection (F32)
|
100% |
1354
101.1 IPS |
|
|
Object Detection (F16)
|
100% |
2322
173.4 IPS |
|
|
Object Detection (I8)
|
97% |
1352
100.9 IPS |
|
|
Face Detection (F32)
|
100% |
2978
35.4 IPS |
|
|
Face Detection (F16)
|
97% |
5739
68.2 IPS |
|
|
Face Detection (I8)
|
97% |
4985
59.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5628
43.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
11591
89.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
11127
86.3 IPS |
|
|
Style Transfer (F32)
|
100% |
17582
23.1 IPS |
|
|
Style Transfer (F16)
|
100% |
27882
36.7 IPS |
|
|
Style Transfer (I8)
|
100% |
28057
36.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4243
151.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4854
173.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4827
172.4 IPS |
|
|
Text Classification (F32)
|
100% |
2050
2.95 KIPS |
|
|
Text Classification (F16)
|
100% |
3364
4.83 KIPS |
|
|
Text Classification (I8)
|
96% |
3373
4.85 KIPS |
|
|
Machine Translation (F32)
|
100% |
1382
25.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1600
29.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1375
25.3 IPS |
