MacBook Air (2022)
Geekbench AI Score
3160
Single Precision Score
26871
Half Precision Score
30677
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 05:49 AM |
| Views | 5 |
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 | 3.29 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1204
223.8 IPS |
|
|
Image Classification (HP)
|
100% |
13490
2.51 KIPS |
|
|
Image Classification (Q)
|
97% |
15714
2.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1254
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19275
312.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23198
376.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5498
6.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
99352
115.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
106317
124.6 IPS |
|
|
Object Detection (SP)
|
100% |
1203
95.4 IPS |
|
|
Object Detection (HP)
|
99% |
15479
1.23 KIPS |
|
|
Object Detection (Q)
|
89% |
17942
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
2808
33.4 IPS |
|
|
Face Detection (HP)
|
100% |
32846
390.3 IPS |
|
|
Face Detection (Q)
|
100% |
46243
549.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5127
39.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
82809
638.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
110622
865.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17195
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
193782
249.1 IPS |
|
|
Style Transfer (Q)
|
96% |
190318
245.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3350
123.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41483
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46697
1.72 KIPS |
|
|
Text Classification (SP)
|
99% |
3856
5.15 KIPS |
|
|
Text Classification (HP)
|
100% |
6017
8.03 KIPS |
|
|
Text Classification (Q)
|
93% |
6162
8.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3118
53.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3731
64.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3790
65.5 IPS |
