MacBook Air (2022)
Geekbench AI Score
5908
Single Precision Score
6516
Half Precision Score
6088
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 12:02 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5207k) |
| Model | MacBook Air (2022) |
| Model ID | Mac14,2 |
| Motherboard | Mac14,2 |
| 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 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2837
527.5 IPS |
|
|
Image Classification (HP)
|
100% |
2695
501.2 IPS |
|
|
Image Classification (Q)
|
94% |
2523
471.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3969
64.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4199
68.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3954
64.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16717
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18665
21.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
18390
21.5 IPS |
|
|
Object Detection (SP)
|
100% |
2757
218.7 IPS |
|
|
Object Detection (HP)
|
100% |
2760
218.9 IPS |
|
|
Object Detection (Q)
|
91% |
2726
217.9 IPS |
|
|
Face Detection (SP)
|
100% |
8251
98.0 IPS |
|
|
Face Detection (HP)
|
100% |
9196
109.3 IPS |
|
|
Face Detection (Q)
|
100% |
8413
100.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11747
90.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
13125
101.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
12490
97.7 IPS |
|
|
Style Transfer (SP)
|
100% |
31240
40.2 IPS |
|
|
Style Transfer (HP)
|
100% |
35203
45.3 IPS |
|
|
Style Transfer (Q)
|
96% |
34624
44.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6795
250.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7239
267.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6282
232.0 IPS |
|
|
Text Classification (SP)
|
99% |
3986
5.32 KIPS |
|
|
Text Classification (HP)
|
99% |
6200
8.28 KIPS |
|
|
Text Classification (Q)
|
92% |
6160
8.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1219
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1243
21.4 IPS |
|
|
Machine Translation (Q)
|
98% |
994
17.2 IPS |
