MacBook Air (2022)
Geekbench AI Score
4261
Single Precision Score
5392
Half Precision Score
5710
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 12:55 PM |
| Views | 7 |
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 | 3.32 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3115
579.3 IPS |
|
|
Image Classification (HP)
|
100% |
2914
541.9 IPS |
|
|
Image Classification (Q)
|
94% |
2714
507.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2039
33.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3012
48.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4342
70.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
17556
20.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
16221
18.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
19608
23.0 IPS |
|
|
Object Detection (SP)
|
100% |
1621
128.5 IPS |
|
|
Object Detection (HP)
|
100% |
1274
101.1 IPS |
|
|
Object Detection (Q)
|
91% |
1870
149.4 IPS |
|
|
Face Detection (SP)
|
100% |
8051
95.7 IPS |
|
|
Face Detection (HP)
|
100% |
9577
113.8 IPS |
|
|
Face Detection (Q)
|
100% |
7283
86.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4732
36.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
10969
84.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
12878
100.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18099
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
12901
16.6 IPS |
|
|
Style Transfer (Q)
|
96% |
20818
26.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2288
84.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7605
280.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6669
246.3 IPS |
|
|
Text Classification (SP)
|
99% |
4122
5.50 KIPS |
|
|
Text Classification (HP)
|
99% |
6391
8.53 KIPS |
|
|
Text Classification (Q)
|
92% |
6300
8.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1682
29.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1741
30.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1040
18.0 IPS |
