MacBook Pro (13-inch, 2022)
Geekbench ML Score
3282
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 23 2025 06:54 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5279m) |
| 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 | 3.24 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% |
592
110.7 IPS |
|
|
Image Classification (F16)
|
100% |
1277
239.0 IPS |
|
|
Image Classification (I8)
|
99% |
1397
261.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
646
10.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1041
17.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
799
13.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
6225
7.54 IPS |
|
|
Pose Estimation (F16)
|
100% |
14118
17.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
14127
17.1 IPS |
|
|
Object Detection (F32)
|
100% |
1263
94.3 IPS |
|
|
Object Detection (F16)
|
100% |
2356
175.9 IPS |
|
|
Object Detection (I8)
|
97% |
1183
88.4 IPS |
|
|
Face Detection (F32)
|
100% |
2750
32.7 IPS |
|
|
Face Detection (F16)
|
97% |
5537
65.8 IPS |
|
|
Face Detection (I8)
|
97% |
5536
65.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
5194
40.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
8549
66.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
10262
79.6 IPS |
|
|
Style Transfer (F32)
|
100% |
17585
23.1 IPS |
|
|
Style Transfer (F16)
|
100% |
26777
35.2 IPS |
|
|
Style Transfer (I8)
|
100% |
27721
36.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4144
148.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4389
156.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4657
166.3 IPS |
|
|
Text Classification (F32)
|
100% |
1845
2.65 KIPS |
|
|
Text Classification (F16)
|
100% |
3351
4.82 KIPS |
|
|
Text Classification (I8)
|
96% |
3070
4.41 KIPS |
|
|
Machine Translation (F32)
|
100% |
915
16.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1308
24.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1276
23.5 IPS |
