MacBook Air (2022)
Geekbench AI Score
3077
Single Precision Score
26670
Half Precision Score
29236
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 03:01 PM |
| 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 | 3.36 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1237
230.1 IPS |
|
|
Image Classification (HP)
|
100% |
13842
2.57 KIPS |
|
|
Image Classification (Q)
|
97% |
15015
2.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1331
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19007
308.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
22654
367.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4423
5.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
86333
100.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
86777
101.7 IPS |
|
|
Object Detection (SP)
|
100% |
1135
90.0 IPS |
|
|
Object Detection (HP)
|
99% |
15913
1.27 KIPS |
|
|
Object Detection (Q)
|
89% |
17180
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
2544
30.2 IPS |
|
|
Face Detection (HP)
|
100% |
31766
377.4 IPS |
|
|
Face Detection (Q)
|
100% |
43106
512.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4489
34.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
82459
635.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
104663
818.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16831
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
193411
248.6 IPS |
|
|
Style Transfer (Q)
|
96% |
172746
222.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3620
133.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40501
1.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45492
1.68 KIPS |
|
|
Text Classification (SP)
|
99% |
4136
5.52 KIPS |
|
|
Text Classification (HP)
|
100% |
6295
8.40 KIPS |
|
|
Text Classification (Q)
|
93% |
6342
8.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3202
55.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3901
67.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4002
69.2 IPS |
