MacBook Air (2022)
Geekbench AI Score
3390
Single Precision Score
27890
Half Precision Score
31052
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 08:50 AM |
| Views | 8 |
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 | 3.44 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1269
236.1 IPS |
|
|
Image Classification (HP)
|
100% |
14395
2.68 KIPS |
|
|
Image Classification (Q)
|
97% |
15060
2.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1389
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19336
313.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24476
396.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6060
7.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
106084
123.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
104469
122.4 IPS |
|
|
Object Detection (SP)
|
100% |
1379
109.4 IPS |
|
|
Object Detection (HP)
|
99% |
15726
1.25 KIPS |
|
|
Object Detection (Q)
|
89% |
17703
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
2926
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
34360
408.3 IPS |
|
|
Face Detection (Q)
|
100% |
46500
552.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5207
40.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
86339
665.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
111863
875.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17335
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
202179
259.9 IPS |
|
|
Style Transfer (Q)
|
96% |
187284
241.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3607
133.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41225
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48457
1.79 KIPS |
|
|
Text Classification (SP)
|
99% |
4109
5.48 KIPS |
|
|
Text Classification (HP)
|
100% |
6324
8.44 KIPS |
|
|
Text Classification (Q)
|
92% |
6308
8.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3482
60.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3923
67.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4107
71.0 IPS |
