MacBook Pro (13-inch, 2022)
Geekbench ML Score
3488
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 01 2026 08:26 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5218f) |
| 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 | 3.33 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% |
891
166.7 IPS |
|
|
Image Classification (F16)
|
100% |
1936
362.4 IPS |
|
|
Image Classification (I8)
|
99% |
1867
349.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
614
10.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
874
14.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
903
15.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
4752
5.75 IPS |
|
|
Pose Estimation (F16)
|
100% |
11221
13.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
11275
13.7 IPS |
|
|
Object Detection (F32)
|
100% |
1019
76.1 IPS |
|
|
Object Detection (F16)
|
100% |
2132
159.2 IPS |
|
|
Object Detection (I8)
|
97% |
1074
80.1 IPS |
|
|
Face Detection (F32)
|
100% |
2634
31.3 IPS |
|
|
Face Detection (F16)
|
97% |
4953
58.9 IPS |
|
|
Face Detection (I8)
|
96% |
5218
62.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
4803
37.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
9331
72.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
7805
60.5 IPS |
|
|
Style Transfer (F32)
|
100% |
16995
22.4 IPS |
|
|
Style Transfer (F16)
|
100% |
28481
37.5 IPS |
|
|
Style Transfer (I8)
|
100% |
28503
37.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3725
133.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5092
181.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5297
189.2 IPS |
|
|
Text Classification (F32)
|
100% |
3780
5.43 KIPS |
|
|
Text Classification (F16)
|
100% |
5700
8.19 KIPS |
|
|
Text Classification (I8)
|
96% |
5577
8.01 KIPS |
|
|
Machine Translation (F32)
|
100% |
1226
22.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1465
27.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1223
22.5 IPS |
