MacBook Air (2022)
Geekbench AI Score
3189
Single Precision Score
26202
Half Precision Score
30615
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 07:43 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 | 3.36 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1255
233.4 IPS |
|
|
Image Classification (HP)
|
100% |
11321
2.11 KIPS |
|
|
Image Classification (Q)
|
97% |
15347
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1194
19.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
17850
289.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23437
379.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5889
6.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
91225
106.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
104760
122.8 IPS |
|
|
Object Detection (SP)
|
100% |
1198
95.0 IPS |
|
|
Object Detection (HP)
|
99% |
14781
1.18 KIPS |
|
|
Object Detection (Q)
|
89% |
17608
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
2601
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
34064
404.8 IPS |
|
|
Face Detection (Q)
|
100% |
46083
547.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5210
40.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
85686
660.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
109793
858.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17380
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
204851
263.3 IPS |
|
|
Style Transfer (Q)
|
96% |
189059
244.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3577
132.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41517
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48963
1.81 KIPS |
|
|
Text Classification (SP)
|
100% |
3911
5.22 KIPS |
|
|
Text Classification (HP)
|
100% |
5970
7.97 KIPS |
|
|
Text Classification (Q)
|
92% |
6070
8.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3130
53.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3778
65.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3836
66.3 IPS |
