MacBook Air (2022)
Geekbench AI Score
3179
Single Precision Score
27292
Half Precision Score
29926
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 05:08 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 | 3.37 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1195
222.2 IPS |
|
|
Image Classification (HP)
|
100% |
13603
2.53 KIPS |
|
|
Image Classification (Q)
|
97% |
15321
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1227
19.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19033
308.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23792
385.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5877
6.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
99966
116.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
103453
121.3 IPS |
|
|
Object Detection (SP)
|
100% |
1339
106.2 IPS |
|
|
Object Detection (HP)
|
99% |
15473
1.23 KIPS |
|
|
Object Detection (Q)
|
89% |
17566
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
2776
33.0 IPS |
|
|
Face Detection (HP)
|
100% |
34382
408.5 IPS |
|
|
Face Detection (Q)
|
100% |
45030
535.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4938
38.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
85356
657.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
110346
863.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15602
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
200970
258.4 IPS |
|
|
Style Transfer (Q)
|
96% |
176281
227.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3466
128.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42219
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48993
1.81 KIPS |
|
|
Text Classification (SP)
|
99% |
3934
5.25 KIPS |
|
|
Text Classification (HP)
|
100% |
6331
8.45 KIPS |
|
|
Text Classification (Q)
|
93% |
6163
8.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3138
54.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3633
62.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3289
56.8 IPS |
