MacBook Air (2022)
Geekbench AI Score
3336
Single Precision Score
28349
Half Precision Score
30938
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 24 2026 11:58 AM |
| Views | 6 |
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 | 3.45 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1245
231.6 IPS |
|
|
Image Classification (HP)
|
100% |
14614
2.72 KIPS |
|
|
Image Classification (Q)
|
97% |
16603
3.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1260
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19497
316.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24753
401.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6077
7.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
106676
124.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
98653
115.6 IPS |
|
|
Object Detection (SP)
|
100% |
1374
109.0 IPS |
|
|
Object Detection (HP)
|
99% |
16102
1.28 KIPS |
|
|
Object Detection (Q)
|
89% |
17527
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
2967
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
35061
416.6 IPS |
|
|
Face Detection (Q)
|
100% |
47231
561.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5115
39.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
88094
678.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
113071
884.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17010
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
203081
261.1 IPS |
|
|
Style Transfer (Q)
|
96% |
189965
245.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3647
134.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41603
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51200
1.89 KIPS |
|
|
Text Classification (SP)
|
99% |
4062
5.42 KIPS |
|
|
Text Classification (HP)
|
100% |
6431
8.58 KIPS |
|
|
Text Classification (Q)
|
93% |
6293
8.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3416
58.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4083
70.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3459
59.8 IPS |
