MacBook Air (2022)
Geekbench AI Score
2987
Single Precision Score
26848
Half Precision Score
28659
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 05:44 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 | 3.29 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1154
214.6 IPS |
|
|
Image Classification (HP)
|
100% |
13071
2.43 KIPS |
|
|
Image Classification (Q)
|
97% |
15191
2.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1207
19.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19258
312.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24150
391.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5249
6.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
94259
110.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
104938
123.0 IPS |
|
|
Object Detection (SP)
|
100% |
1238
98.2 IPS |
|
|
Object Detection (HP)
|
99% |
14818
1.18 KIPS |
|
|
Object Detection (Q)
|
89% |
16235
1.30 KIPS |
|
|
Face Detection (SP)
|
100% |
2319
27.6 IPS |
|
|
Face Detection (HP)
|
100% |
32881
390.7 IPS |
|
|
Face Detection (Q)
|
100% |
43045
511.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4966
38.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
85282
657.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
105247
823.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15766
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
200747
258.1 IPS |
|
|
Style Transfer (Q)
|
96% |
181680
234.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3573
131.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42348
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45231
1.67 KIPS |
|
|
Text Classification (SP)
|
99% |
3429
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
6422
8.57 KIPS |
|
|
Text Classification (Q)
|
93% |
6116
8.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2812
48.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3616
62.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2627
45.4 IPS |
