MacBook Air (2022)
Geekbench AI Score
3381
Single Precision Score
27822
Half Precision Score
30103
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 11:28 AM |
| Views | 9 |
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 | 3.38 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1283
238.5 IPS |
|
|
Image Classification (HP)
|
100% |
14474
2.69 KIPS |
|
|
Image Classification (Q)
|
97% |
14149
2.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1376
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19442
315.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24061
390.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6061
7.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
105126
122.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
79475
93.1 IPS |
|
|
Object Detection (SP)
|
100% |
1367
108.4 IPS |
|
|
Object Detection (HP)
|
99% |
15746
1.25 KIPS |
|
|
Object Detection (Q)
|
89% |
17783
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
2952
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
32904
391.0 IPS |
|
|
Face Detection (Q)
|
100% |
47110
559.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5219
40.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
86833
669.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
112172
877.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17361
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
203390
261.5 IPS |
|
|
Style Transfer (Q)
|
96% |
188262
242.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3609
133.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41820
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49535
1.83 KIPS |
|
|
Text Classification (SP)
|
100% |
4000
5.34 KIPS |
|
|
Text Classification (HP)
|
100% |
6170
8.24 KIPS |
|
|
Text Classification (Q)
|
92% |
6247
8.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3465
59.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3979
68.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4126
71.3 IPS |
