MacBook Air (2022)
Geekbench AI Score
3129
Single Precision Score
24528
Half Precision Score
27226
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | z0nked |
| Upload Date | January 31 2026 10:05 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1267
235.7 IPS |
|
|
Image Classification (HP)
|
100% |
14434
2.68 KIPS |
|
|
Image Classification (Q)
|
96% |
15507
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1357
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18568
301.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
22948
372.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6202
7.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
98684
115.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
93306
109.4 IPS |
|
|
Object Detection (SP)
|
100% |
1335
105.9 IPS |
|
|
Object Detection (HP)
|
99% |
14378
1.14 KIPS |
|
|
Object Detection (Q)
|
91% |
15785
1.26 KIPS |
|
|
Face Detection (SP)
|
100% |
2744
32.6 IPS |
|
|
Face Detection (HP)
|
100% |
27879
331.3 IPS |
|
|
Face Detection (Q)
|
100% |
33672
400.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5112
39.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
83157
640.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
109250
853.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18372
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
183785
236.3 IPS |
|
|
Style Transfer (Q)
|
96% |
177602
229.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3392
125.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37137
1.37 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45868
1.69 KIPS |
|
|
Text Classification (SP)
|
100% |
2031
2.71 KIPS |
|
|
Text Classification (HP)
|
100% |
3809
5.08 KIPS |
|
|
Text Classification (Q)
|
93% |
3712
4.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3570
61.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3439
59.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3839
66.3 IPS |
