MacBook Pro (13-inch, 2022)
Geekbench ML Score
3682
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 29 2025 05:29 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5349a) |
| 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 | 3.34 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% |
1300
243.3 IPS |
|
|
Image Classification (F16)
|
100% |
2410
450.9 IPS |
|
|
Image Classification (I8)
|
99% |
2343
438.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
740
12.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
951
15.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1098
18.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
6519
7.89 IPS |
|
|
Pose Estimation (F16)
|
100% |
14222
17.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
14189
17.2 IPS |
|
|
Object Detection (F32)
|
100% |
1340
100.0 IPS |
|
|
Object Detection (F16)
|
100% |
2306
172.1 IPS |
|
|
Object Detection (I8)
|
97% |
1332
99.5 IPS |
|
|
Face Detection (F32)
|
100% |
2996
35.6 IPS |
|
|
Face Detection (F16)
|
97% |
5648
67.2 IPS |
|
|
Face Detection (I8)
|
96% |
5665
67.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
5513
42.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
10715
83.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
10462
81.1 IPS |
|
|
Style Transfer (F32)
|
100% |
17230
22.7 IPS |
|
|
Style Transfer (F16)
|
100% |
28012
36.8 IPS |
|
|
Style Transfer (I8)
|
100% |
27969
36.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3325
118.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3863
137.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4261
152.2 IPS |
|
|
Text Classification (F32)
|
100% |
2046
2.94 KIPS |
|
|
Text Classification (F16)
|
100% |
3404
4.89 KIPS |
|
|
Text Classification (I8)
|
96% |
3476
5.00 KIPS |
|
|
Machine Translation (F32)
|
100% |
1358
25.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1610
29.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1352
24.9 IPS |
