MacBook Air (2022)
Geekbench AI Score
3322
Single Precision Score
26811
Half Precision Score
29226
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | radiant803 |
| Upload Date | November 17 2025 02:45 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1308
243.2 IPS |
|
|
Image Classification (HP)
|
100% |
14720
2.74 KIPS |
|
|
Image Classification (Q)
|
96% |
15904
2.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1445
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19760
320.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24169
391.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6341
7.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
101380
118.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
107058
125.5 IPS |
|
|
Object Detection (SP)
|
100% |
1419
112.6 IPS |
|
|
Object Detection (HP)
|
99% |
15823
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
17067
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3094
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
33949
403.4 IPS |
|
|
Face Detection (Q)
|
100% |
43377
515.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5420
41.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
88497
681.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
108159
845.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18148
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
203096
261.1 IPS |
|
|
Style Transfer (Q)
|
96% |
188340
243.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3703
136.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39820
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42697
1.58 KIPS |
|
|
Text Classification (SP)
|
100% |
2352
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
3951
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3924
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3634
62.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4286
73.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4374
75.6 IPS |
