MacBook Air (2022)
Geekbench AI Score
2619
Single Precision Score
21598
Half Precision Score
26242
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 02:30 PM |
| Views | 14 |
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 | 3.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1124
209.0 IPS |
|
|
Image Classification (HP)
|
100% |
12922
2.40 KIPS |
|
|
Image Classification (Q)
|
97% |
14510
2.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1184
19.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16257
263.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
21224
344.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3223
3.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
62035
72.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
61300
71.8 IPS |
|
|
Object Detection (SP)
|
100% |
606
48.0 IPS |
|
|
Object Detection (HP)
|
99% |
6334
503.8 IPS |
|
|
Object Detection (Q)
|
89% |
8665
693.6 IPS |
|
|
Face Detection (SP)
|
100% |
1537
18.3 IPS |
|
|
Face Detection (HP)
|
100% |
20722
246.2 IPS |
|
|
Face Detection (Q)
|
100% |
43048
511.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4904
37.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
72849
561.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
102094
798.7 IPS |
|
|
Style Transfer (SP)
|
100% |
15397
19.8 IPS |
|
|
Style Transfer (HP)
|
100% |
185588
238.6 IPS |
|
|
Style Transfer (Q)
|
96% |
186474
240.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3625
133.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38610
1.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45616
1.68 KIPS |
|
|
Text Classification (SP)
|
99% |
4181
5.58 KIPS |
|
|
Text Classification (HP)
|
99% |
6532
8.72 KIPS |
|
|
Text Classification (Q)
|
93% |
6441
8.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3333
57.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3788
65.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3932
67.9 IPS |
