MacBook Air (2022)
Geekbench AI Score
3437
Single Precision Score
26622
Half Precision Score
29375
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 03 2025 10:26 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.2 (Build 24G325) |
| 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1386
257.8 IPS |
|
|
Image Classification (HP)
|
100% |
14878
2.77 KIPS |
|
|
Image Classification (Q)
|
96% |
15149
2.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1476
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19575
317.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24013
389.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6823
7.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
102210
119.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
104408
122.4 IPS |
|
|
Object Detection (SP)
|
100% |
1528
121.2 IPS |
|
|
Object Detection (HP)
|
99% |
15194
1.21 KIPS |
|
|
Object Detection (Q)
|
91% |
17474
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
3041
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
33332
396.1 IPS |
|
|
Face Detection (Q)
|
100% |
42203
501.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5517
42.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
86520
666.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
108827
850.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18598
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
203613
261.7 IPS |
|
|
Style Transfer (Q)
|
96% |
194546
251.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4000
147.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40883
1.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47570
1.76 KIPS |
|
|
Text Classification (SP)
|
100% |
2330
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
3846
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3836
5.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3709
63.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4283
73.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4421
76.4 IPS |
