MacBook Pro (13-inch, 2022)
Geekbench ML Score
3812
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 08 2025 06:01 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.28 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% |
1245
232.9 IPS |
|
|
Image Classification (F16)
|
100% |
2338
437.5 IPS |
|
|
Image Classification (I8)
|
99% |
2251
421.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
836
14.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1144
19.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1028
17.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
6392
7.74 IPS |
|
|
Pose Estimation (F16)
|
100% |
14398
17.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
14520
17.6 IPS |
|
|
Object Detection (F32)
|
100% |
1453
108.4 IPS |
|
|
Object Detection (F16)
|
100% |
2024
151.1 IPS |
|
|
Object Detection (I8)
|
97% |
1385
103.4 IPS |
|
|
Face Detection (F32)
|
100% |
3043
36.2 IPS |
|
|
Face Detection (F16)
|
97% |
5718
68.0 IPS |
|
|
Face Detection (I8)
|
97% |
5444
64.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5483
42.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
11139
86.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
11070
85.8 IPS |
|
|
Style Transfer (F32)
|
100% |
17700
23.3 IPS |
|
|
Style Transfer (F16)
|
100% |
27965
36.8 IPS |
|
|
Style Transfer (I8)
|
100% |
28738
37.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4169
148.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5162
184.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5088
181.7 IPS |
|
|
Text Classification (F32)
|
100% |
2098
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3484
5.01 KIPS |
|
|
Text Classification (I8)
|
96% |
3515
5.05 KIPS |
|
|
Machine Translation (F32)
|
100% |
1348
24.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1656
30.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1363
25.1 IPS |
