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 | September 19 2025 07:03 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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% |
1217
227.7 IPS |
|
|
Image Classification (F16)
|
100% |
2338
437.5 IPS |
|
|
Image Classification (I8)
|
99% |
2338
437.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
774
12.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1138
19.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1077
18.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
5829
7.06 IPS |
|
|
Pose Estimation (F16)
|
100% |
14260
17.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
14362
17.4 IPS |
|
|
Object Detection (F32)
|
100% |
1301
97.1 IPS |
|
|
Object Detection (F16)
|
100% |
2456
183.3 IPS |
|
|
Object Detection (I8)
|
97% |
1359
101.5 IPS |
|
|
Face Detection (F32)
|
100% |
2870
34.1 IPS |
|
|
Face Detection (F16)
|
97% |
5789
68.8 IPS |
|
|
Face Detection (I8)
|
96% |
5897
70.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5195
40.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
10779
83.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
11023
85.5 IPS |
|
|
Style Transfer (F32)
|
100% |
17726
23.3 IPS |
|
|
Style Transfer (F16)
|
100% |
27794
36.6 IPS |
|
|
Style Transfer (I8)
|
100% |
27362
36.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3836
137.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5140
183.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5285
188.7 IPS |
|
|
Text Classification (F32)
|
100% |
2153
3.09 KIPS |
|
|
Text Classification (F16)
|
100% |
3454
4.96 KIPS |
|
|
Text Classification (I8)
|
96% |
3449
4.96 KIPS |
|
|
Machine Translation (F32)
|
100% |
1366
25.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1696
31.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1344
24.7 IPS |
