MacBook Air (2022)
Geekbench AI Score
3301
Single Precision Score
27682
Half Precision Score
30748
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 10:11 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 | 3.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1242
231.0 IPS |
|
|
Image Classification (HP)
|
100% |
13641
2.54 KIPS |
|
|
Image Classification (Q)
|
97% |
15010
2.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1350
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19080
309.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24315
394.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5987
6.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
105800
123.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
105168
123.3 IPS |
|
|
Object Detection (SP)
|
100% |
1330
105.5 IPS |
|
|
Object Detection (HP)
|
99% |
15630
1.24 KIPS |
|
|
Object Detection (Q)
|
89% |
17790
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
2883
34.3 IPS |
|
|
Face Detection (HP)
|
100% |
34475
409.6 IPS |
|
|
Face Detection (Q)
|
100% |
46206
549.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5126
39.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
86406
665.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
110085
861.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17142
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
202671
260.5 IPS |
|
|
Style Transfer (Q)
|
96% |
188952
243.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3492
128.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42328
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49513
1.83 KIPS |
|
|
Text Classification (SP)
|
99% |
4005
5.35 KIPS |
|
|
Text Classification (HP)
|
100% |
6277
8.38 KIPS |
|
|
Text Classification (Q)
|
93% |
6209
8.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3250
56.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3828
65.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3745
64.7 IPS |
