MacBook Air (2022)
Geekbench AI Score
3188
Single Precision Score
26380
Half Precision Score
29964
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 05:05 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.45 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
995
185.0 IPS |
|
|
Image Classification (HP)
|
100% |
12072
2.24 KIPS |
|
|
Image Classification (Q)
|
97% |
14262
2.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1308
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
13573
220.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
18116
293.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5921
6.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
106409
124.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
106225
124.5 IPS |
|
|
Object Detection (SP)
|
100% |
1305
103.6 IPS |
|
|
Object Detection (HP)
|
99% |
15688
1.25 KIPS |
|
|
Object Detection (Q)
|
89% |
17913
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
2777
33.0 IPS |
|
|
Face Detection (HP)
|
100% |
34501
409.9 IPS |
|
|
Face Detection (Q)
|
100% |
45983
546.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5009
38.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
85995
662.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
111172
869.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16823
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
203816
262.0 IPS |
|
|
Style Transfer (Q)
|
96% |
191818
247.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3586
132.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42132
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49655
1.83 KIPS |
|
|
Text Classification (SP)
|
99% |
4062
5.42 KIPS |
|
|
Text Classification (HP)
|
100% |
6363
8.49 KIPS |
|
|
Text Classification (Q)
|
93% |
6357
8.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3165
54.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3682
63.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3835
66.3 IPS |
