MacBook Air (2022)
Geekbench AI Score
3271
Single Precision Score
26724
Half Precision Score
29633
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 28 2026 06:30 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1253
233.0 IPS |
|
|
Image Classification (HP)
|
100% |
14338
2.67 KIPS |
|
|
Image Classification (Q)
|
96% |
16092
3.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1442
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19912
322.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24074
390.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6254
7.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
106743
124.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
106647
125.0 IPS |
|
|
Object Detection (SP)
|
100% |
1385
109.9 IPS |
|
|
Object Detection (HP)
|
99% |
15835
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
17893
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
3028
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
34082
405.0 IPS |
|
|
Face Detection (Q)
|
100% |
43481
516.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5393
41.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
87890
677.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
108043
844.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17886
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
201150
258.6 IPS |
|
|
Style Transfer (Q)
|
96% |
194791
251.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3739
138.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39909
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46327
1.71 KIPS |
|
|
Text Classification (SP)
|
100% |
2290
3.06 KIPS |
|
|
Text Classification (HP)
|
99% |
3887
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3890
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3592
61.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4119
71.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4283
74.0 IPS |
