MacBook Air (15-inch, 2023)
Geekbench ML Score
4061
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 10 2026 03:53 AM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5233c) |
| Model | MacBook Air (15-inch, 2023) |
| Model ID | Mac14,15 |
| Motherboard | Mac14,15 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 3.43 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% |
1281
239.7 IPS |
|
|
Image Classification (F16)
|
100% |
2463
460.8 IPS |
|
|
Image Classification (I8)
|
99% |
2461
460.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
866
14.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1187
19.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1144
19.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
5922
7.17 IPS |
|
|
Pose Estimation (F16)
|
100% |
14493
17.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
14540
17.6 IPS |
|
|
Object Detection (F32)
|
100% |
1340
100.0 IPS |
|
|
Object Detection (F16)
|
100% |
2446
182.6 IPS |
|
|
Object Detection (I8)
|
97% |
1343
100.3 IPS |
|
|
Face Detection (F32)
|
100% |
2992
35.6 IPS |
|
|
Face Detection (F16)
|
97% |
5803
69.0 IPS |
|
|
Face Detection (I8)
|
96% |
5791
68.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5315
41.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
10795
83.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
10974
85.1 IPS |
|
|
Style Transfer (F32)
|
100% |
17517
23.0 IPS |
|
|
Style Transfer (F16)
|
100% |
28335
37.3 IPS |
|
|
Style Transfer (I8)
|
100% |
28697
37.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3792
135.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5115
182.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5305
189.5 IPS |
|
|
Text Classification (F32)
|
100% |
3702
5.32 KIPS |
|
|
Text Classification (F16)
|
100% |
5814
8.36 KIPS |
|
|
Text Classification (I8)
|
96% |
6006
8.63 KIPS |
|
|
Machine Translation (F32)
|
100% |
1334
24.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1658
30.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1374
25.3 IPS |
