MacBook Pro (13-inch, 2022)
Geekbench ML Score
3371
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 19 2025 09:46 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5306g) |
| 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 | 3.30 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% |
1204
225.4 IPS |
|
|
Image Classification (F16)
|
100% |
1785
334.0 IPS |
|
|
Image Classification (I8)
|
99% |
1935
362.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
580
9.68 IPS |
|
|
Image Segmentation (F16)
|
100% |
965
16.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
785
13.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
4992
6.04 IPS |
|
|
Pose Estimation (F16)
|
100% |
10635
12.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
12778
15.5 IPS |
|
|
Object Detection (F32)
|
100% |
1313
98.0 IPS |
|
|
Object Detection (F16)
|
100% |
2222
165.9 IPS |
|
|
Object Detection (I8)
|
97% |
1417
105.8 IPS |
|
|
Face Detection (F32)
|
100% |
2732
32.5 IPS |
|
|
Face Detection (F16)
|
97% |
5284
62.8 IPS |
|
|
Face Detection (I8)
|
96% |
5731
68.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5176
40.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
9880
76.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
9243
71.7 IPS |
|
|
Style Transfer (F32)
|
100% |
15285
20.1 IPS |
|
|
Style Transfer (F16)
|
100% |
27823
36.6 IPS |
|
|
Style Transfer (I8)
|
100% |
27882
36.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3614
129.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5279
188.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5202
185.8 IPS |
|
|
Text Classification (F32)
|
100% |
1999
2.87 KIPS |
|
|
Text Classification (F16)
|
100% |
2238
3.22 KIPS |
|
|
Text Classification (I8)
|
96% |
2920
4.20 KIPS |
|
|
Machine Translation (F32)
|
100% |
1188
21.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1600
29.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1168
21.5 IPS |
