MacBook Air (2022)
Geekbench AI Score
5835
Single Precision Score
6239
Half Precision Score
5966
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 01:59 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 | 3.35 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2809
522.4 IPS |
|
|
Image Classification (HP)
|
100% |
2691
500.5 IPS |
|
|
Image Classification (Q)
|
94% |
2561
478.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4021
65.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4175
67.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4022
65.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
16128
18.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19126
22.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
18631
21.8 IPS |
|
|
Object Detection (SP)
|
100% |
2764
219.2 IPS |
|
|
Object Detection (HP)
|
100% |
2384
189.1 IPS |
|
|
Object Detection (Q)
|
91% |
2411
192.7 IPS |
|
|
Face Detection (SP)
|
100% |
8248
98.0 IPS |
|
|
Face Detection (HP)
|
100% |
8173
97.1 IPS |
|
|
Face Detection (Q)
|
100% |
8307
98.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10864
83.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
13154
101.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
11452
89.5 IPS |
|
|
Style Transfer (SP)
|
100% |
31224
40.1 IPS |
|
|
Style Transfer (HP)
|
100% |
35166
45.2 IPS |
|
|
Style Transfer (Q)
|
96% |
34559
44.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6510
240.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7093
261.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6473
239.0 IPS |
|
|
Text Classification (SP)
|
99% |
3955
5.28 KIPS |
|
|
Text Classification (HP)
|
99% |
6152
8.21 KIPS |
|
|
Text Classification (Q)
|
92% |
6049
8.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1263
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1059
18.2 IPS |
|
|
Machine Translation (Q)
|
98% |
960
16.6 IPS |
