MacBook Air (2022)
Geekbench AI Score
2963
Single Precision Score
22624
Half Precision Score
25012
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 10:59 AM |
| Views | 12 |
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 | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1270
236.2 IPS |
|
|
Image Classification (HP)
|
100% |
13707
2.55 KIPS |
|
|
Image Classification (Q)
|
97% |
15917
2.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1247
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18528
300.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23325
378.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6005
7.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
104905
122.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
101207
118.6 IPS |
|
|
Object Detection (SP)
|
100% |
1371
108.8 IPS |
|
|
Object Detection (HP)
|
99% |
15917
1.27 KIPS |
|
|
Object Detection (Q)
|
89% |
17249
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
2841
33.8 IPS |
|
|
Face Detection (HP)
|
100% |
34782
413.3 IPS |
|
|
Face Detection (Q)
|
100% |
46618
553.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5208
40.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
77417
596.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
111695
873.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17250
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
204448
262.8 IPS |
|
|
Style Transfer (Q)
|
96% |
191361
246.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3607
133.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41250
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45586
1.68 KIPS |
|
|
Text Classification (SP)
|
99% |
3995
5.33 KIPS |
|
|
Text Classification (HP)
|
99% |
3449
4.60 KIPS |
|
|
Text Classification (Q)
|
92% |
2465
3.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1090
18.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1058
18.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1321
22.8 IPS |
