MacBook Air (2022)
Geekbench AI Score
3299
Single Precision Score
26173
Half Precision Score
28714
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | March 18 2026 04:54 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (a) (Build 25D771280a) |
| 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1301
241.9 IPS |
|
|
Image Classification (HP)
|
100% |
14473
2.69 KIPS |
|
|
Image Classification (Q)
|
96% |
15759
2.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1432
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19756
320.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24123
391.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6303
7.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
106925
124.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
106765
125.1 IPS |
|
|
Object Detection (SP)
|
100% |
1413
112.1 IPS |
|
|
Object Detection (HP)
|
99% |
15793
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
17292
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3010
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
34211
406.5 IPS |
|
|
Face Detection (Q)
|
100% |
43762
520.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5374
41.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
87464
673.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
106671
833.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18068
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
202960
260.9 IPS |
|
|
Style Transfer (Q)
|
96% |
194460
250.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3727
137.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40278
1.49 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45362
1.68 KIPS |
|
|
Text Classification (SP)
|
100% |
2331
3.11 KIPS |
|
|
Text Classification (HP)
|
99% |
3889
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3880
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3626
62.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3285
56.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3399
58.7 IPS |
