MacBook Air (2022)
Geekbench AI Score
2123
Single Precision Score
21608
Half Precision Score
21791
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 01:13 PM |
| Views | 11 |
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 | 1.96 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
239
44.4 IPS |
|
|
Image Classification (HP)
|
100% |
5998
1.12 KIPS |
|
|
Image Classification (Q)
|
97% |
7474
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
758
12.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
12722
206.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10751
174.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4259
4.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
73213
85.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
57976
68.0 IPS |
|
|
Object Detection (SP)
|
100% |
1033
81.9 IPS |
|
|
Object Detection (HP)
|
99% |
14024
1.12 KIPS |
|
|
Object Detection (Q)
|
89% |
9394
752.0 IPS |
|
|
Face Detection (SP)
|
100% |
1028
12.2 IPS |
|
|
Face Detection (HP)
|
100% |
15847
188.3 IPS |
|
|
Face Detection (Q)
|
100% |
26393
313.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4264
32.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
86188
664.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
108451
848.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13154
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
203484
261.6 IPS |
|
|
Style Transfer (Q)
|
96% |
190445
245.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3021
111.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41368
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40934
1.51 KIPS |
|
|
Text Classification (SP)
|
99% |
4042
5.39 KIPS |
|
|
Text Classification (HP)
|
99% |
6335
8.46 KIPS |
|
|
Text Classification (Q)
|
93% |
6286
8.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3321
57.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3890
67.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3934
68.0 IPS |
