MacBook Air (2022)
Geekbench AI Score
3355
Single Precision Score
27710
Half Precision Score
30971
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 23 2026 06:54 PM |
| Views | 5 |
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% |
1272
236.6 IPS |
|
|
Image Classification (HP)
|
100% |
13823
2.57 KIPS |
|
|
Image Classification (Q)
|
97% |
15462
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1396
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19308
313.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24175
391.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5985
6.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
104891
122.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
104832
122.9 IPS |
|
|
Object Detection (SP)
|
100% |
1347
106.9 IPS |
|
|
Object Detection (HP)
|
99% |
15306
1.22 KIPS |
|
|
Object Detection (Q)
|
89% |
17248
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
2896
34.4 IPS |
|
|
Face Detection (HP)
|
100% |
34585
410.9 IPS |
|
|
Face Detection (Q)
|
100% |
46236
549.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5149
39.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
86126
663.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
109837
859.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17175
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
200505
257.8 IPS |
|
|
Style Transfer (Q)
|
96% |
187695
242.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3607
133.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41221
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49016
1.81 KIPS |
|
|
Text Classification (SP)
|
99% |
4063
5.42 KIPS |
|
|
Text Classification (HP)
|
99% |
6555
8.75 KIPS |
|
|
Text Classification (Q)
|
93% |
6392
8.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3368
58.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3860
66.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4023
69.5 IPS |
