MacBook Air (2022)
Geekbench AI Score
3274
Single Precision Score
27233
Half Precision Score
30387
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 08:00 AM |
| Views | 10 |
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 | 3.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1095
203.7 IPS |
|
|
Image Classification (HP)
|
100% |
13152
2.45 KIPS |
|
|
Image Classification (Q)
|
97% |
14574
2.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1290
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18438
298.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
20326
329.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5739
6.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
105133
122.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
105446
123.6 IPS |
|
|
Object Detection (SP)
|
100% |
1384
109.8 IPS |
|
|
Object Detection (HP)
|
99% |
14245
1.13 KIPS |
|
|
Object Detection (Q)
|
89% |
18093
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
2912
34.6 IPS |
|
|
Face Detection (HP)
|
100% |
34539
410.4 IPS |
|
|
Face Detection (Q)
|
100% |
45327
538.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5015
38.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
85684
660.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
108832
851.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16951
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
204367
262.7 IPS |
|
|
Style Transfer (Q)
|
96% |
189916
245.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3647
134.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40542
1.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48910
1.81 KIPS |
|
|
Text Classification (SP)
|
100% |
4038
5.39 KIPS |
|
|
Text Classification (HP)
|
100% |
6326
8.44 KIPS |
|
|
Text Classification (Q)
|
92% |
6244
8.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3461
59.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3984
68.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4152
71.7 IPS |
