MacBook Air (2022)
Geekbench AI Score
2946
Single Precision Score
25650
Half Precision Score
29943
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 06:44 AM |
| Views | 10 |
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 | 3.35 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1075
199.8 IPS |
|
|
Image Classification (HP)
|
100% |
12510
2.33 KIPS |
|
|
Image Classification (Q)
|
97% |
14336
2.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
952
15.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
14719
238.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
21143
342.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4230
4.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
104198
121.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
104671
122.7 IPS |
|
|
Object Detection (SP)
|
100% |
1268
100.6 IPS |
|
|
Object Detection (HP)
|
99% |
15193
1.21 KIPS |
|
|
Object Detection (Q)
|
89% |
17821
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
2589
30.8 IPS |
|
|
Face Detection (HP)
|
100% |
33988
403.8 IPS |
|
|
Face Detection (Q)
|
100% |
45545
541.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4882
37.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
78414
604.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
110454
864.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15870
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
172091
221.2 IPS |
|
|
Style Transfer (Q)
|
96% |
187372
241.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3478
128.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41323
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50140
1.85 KIPS |
|
|
Text Classification (SP)
|
99% |
4201
5.61 KIPS |
|
|
Text Classification (HP)
|
100% |
6368
8.50 KIPS |
|
|
Text Classification (Q)
|
93% |
6320
8.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3069
52.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3505
60.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3431
59.3 IPS |
