MacBook Air (2022)
Geekbench AI Score
3163
Single Precision Score
27084
Half Precision Score
28887
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 01:11 PM |
| Views | 6 |
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 | 3.26 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1157
215.1 IPS |
|
|
Image Classification (HP)
|
100% |
13955
2.60 KIPS |
|
|
Image Classification (Q)
|
97% |
15710
2.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1294
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18882
306.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23470
380.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5713
6.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
101757
118.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
96737
113.4 IPS |
|
|
Object Detection (SP)
|
100% |
1310
103.9 IPS |
|
|
Object Detection (HP)
|
99% |
15312
1.22 KIPS |
|
|
Object Detection (Q)
|
89% |
16349
1.31 KIPS |
|
|
Face Detection (SP)
|
100% |
2554
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
32959
391.6 IPS |
|
|
Face Detection (Q)
|
100% |
45012
534.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5078
39.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
87106
671.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
104882
820.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14866
19.1 IPS |
|
|
Style Transfer (HP)
|
100% |
198513
255.2 IPS |
|
|
Style Transfer (Q)
|
96% |
178507
230.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3587
132.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42584
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47578
1.76 KIPS |
|
|
Text Classification (SP)
|
99% |
4078
5.44 KIPS |
|
|
Text Classification (HP)
|
99% |
6360
8.49 KIPS |
|
|
Text Classification (Q)
|
93% |
6388
8.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3176
54.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3352
57.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2709
46.8 IPS |
