MacBook Air (2022)
Geekbench AI Score
3333
Single Precision Score
27456
Half Precision Score
30637
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 03:30 PM |
| Views | 11 |
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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1262
234.8 IPS |
|
|
Image Classification (HP)
|
100% |
13108
2.44 KIPS |
|
|
Image Classification (Q)
|
97% |
15516
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1310
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18544
300.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23549
381.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6066
7.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
99433
116.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
98812
115.8 IPS |
|
|
Object Detection (SP)
|
100% |
1358
107.7 IPS |
|
|
Object Detection (HP)
|
99% |
15786
1.26 KIPS |
|
|
Object Detection (Q)
|
89% |
17619
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
2921
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
34584
410.9 IPS |
|
|
Face Detection (Q)
|
100% |
44785
532.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5211
40.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
85659
660.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
104958
821.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16355
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
203235
261.3 IPS |
|
|
Style Transfer (Q)
|
96% |
188878
243.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3591
132.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41633
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49399
1.82 KIPS |
|
|
Text Classification (SP)
|
99% |
4067
5.43 KIPS |
|
|
Text Classification (HP)
|
100% |
6414
8.56 KIPS |
|
|
Text Classification (Q)
|
93% |
6384
8.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3420
58.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3969
68.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4091
70.7 IPS |
