MacBook Air (2022)
Geekbench AI Score
2572
Single Precision Score
24228
Half Precision Score
26957
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 05:15 AM |
| Views | 7 |
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 | 2.69 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1017
189.1 IPS |
|
|
Image Classification (HP)
|
100% |
12942
2.41 KIPS |
|
|
Image Classification (Q)
|
97% |
15135
2.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1304
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
17369
281.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
19907
322.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3156
3.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
69561
81.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
76895
90.1 IPS |
|
|
Object Detection (SP)
|
100% |
810
64.2 IPS |
|
|
Object Detection (HP)
|
99% |
12803
1.02 KIPS |
|
|
Object Detection (Q)
|
89% |
13438
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
1524
18.1 IPS |
|
|
Face Detection (HP)
|
100% |
27010
320.9 IPS |
|
|
Face Detection (Q)
|
100% |
46338
550.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5062
39.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
72845
561.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
90421
707.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13522
17.4 IPS |
|
|
Style Transfer (HP)
|
100% |
196865
253.1 IPS |
|
|
Style Transfer (Q)
|
96% |
146249
188.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3388
125.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39340
1.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43117
1.59 KIPS |
|
|
Text Classification (SP)
|
99% |
3864
5.16 KIPS |
|
|
Text Classification (HP)
|
100% |
6405
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6371
8.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
2740
47.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3567
61.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3868
66.9 IPS |
