MacBook Pro (13-inch, 2022)
Geekbench ML Score
3531
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 16 2025 06:37 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5037j) |
| 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 | 3.46 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% |
1151
215.4 IPS |
|
|
Image Classification (F16)
|
100% |
2140
400.5 IPS |
|
|
Image Classification (I8)
|
99% |
2151
402.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
756
12.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1023
17.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1060
17.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
4748
5.75 IPS |
|
|
Pose Estimation (F16)
|
100% |
14078
17.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
13001
15.7 IPS |
|
|
Object Detection (F32)
|
100% |
1044
78.0 IPS |
|
|
Object Detection (F16)
|
100% |
1710
127.6 IPS |
|
|
Object Detection (I8)
|
97% |
1068
79.7 IPS |
|
|
Face Detection (F32)
|
100% |
2487
29.6 IPS |
|
|
Face Detection (F16)
|
97% |
5297
63.0 IPS |
|
|
Face Detection (I8)
|
96% |
5777
68.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5408
41.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
10381
80.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
10686
82.9 IPS |
|
|
Style Transfer (F32)
|
100% |
17476
23.0 IPS |
|
|
Style Transfer (F16)
|
100% |
26951
35.5 IPS |
|
|
Style Transfer (I8)
|
100% |
27586
36.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3811
136.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4978
177.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5158
184.2 IPS |
|
|
Text Classification (F32)
|
100% |
2084
3.00 KIPS |
|
|
Text Classification (F16)
|
100% |
3400
4.89 KIPS |
|
|
Text Classification (I8)
|
96% |
3469
4.99 KIPS |
|
|
Machine Translation (F32)
|
100% |
1313
24.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1564
28.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1308
24.1 IPS |
