MacBook Air (2022)
Geekbench AI Score
3288
Single Precision Score
27743
Half Precision Score
31150
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 07:18 AM |
| Views | 12 |
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 | 3.44 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1272
236.6 IPS |
|
|
Image Classification (HP)
|
100% |
13658
2.54 KIPS |
|
|
Image Classification (Q)
|
97% |
15457
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1368
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19229
311.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24336
394.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6030
7.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
104900
122.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
105940
124.2 IPS |
|
|
Object Detection (SP)
|
100% |
1345
106.7 IPS |
|
|
Object Detection (HP)
|
99% |
15750
1.25 KIPS |
|
|
Object Detection (Q)
|
89% |
18027
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
2872
34.1 IPS |
|
|
Face Detection (HP)
|
100% |
34752
412.9 IPS |
|
|
Face Detection (Q)
|
100% |
46679
554.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5142
39.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
87062
670.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
111591
872.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17125
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
200678
258.0 IPS |
|
|
Style Transfer (Q)
|
96% |
187509
242.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3611
133.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42064
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49198
1.82 KIPS |
|
|
Text Classification (SP)
|
100% |
4084
5.45 KIPS |
|
|
Text Classification (HP)
|
100% |
6341
8.46 KIPS |
|
|
Text Classification (Q)
|
92% |
6339
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
2811
48.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3845
66.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3932
68.0 IPS |
