MacBook Air (2022)
Geekbench AI Score
3313
Single Precision Score
27823
Half Precision Score
31190
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 01:07 PM |
| 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 | 3.43 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1264
235.1 IPS |
|
|
Image Classification (HP)
|
100% |
14010
2.61 KIPS |
|
|
Image Classification (Q)
|
97% |
15569
2.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1362
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19190
311.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24191
392.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6055
7.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
103665
121.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
105550
123.7 IPS |
|
|
Object Detection (SP)
|
100% |
1301
103.2 IPS |
|
|
Object Detection (HP)
|
99% |
15771
1.25 KIPS |
|
|
Object Detection (Q)
|
89% |
17473
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
2935
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
34769
413.1 IPS |
|
|
Face Detection (Q)
|
100% |
45495
540.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4639
35.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
86334
665.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
111200
869.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17301
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
201653
259.2 IPS |
|
|
Style Transfer (Q)
|
96% |
192368
248.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3602
133.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40926
1.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49313
1.82 KIPS |
|
|
Text Classification (SP)
|
99% |
4027
5.38 KIPS |
|
|
Text Classification (HP)
|
99% |
6463
8.63 KIPS |
|
|
Text Classification (Q)
|
93% |
6280
8.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3445
59.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3951
68.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4162
71.9 IPS |
