MacBook Air (2022)
Geekbench AI Score
3205
Single Precision Score
27054
Half Precision Score
29991
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 04:45 PM |
| Views | 8 |
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 | 3.37 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1219
226.6 IPS |
|
|
Image Classification (HP)
|
100% |
13130
2.44 KIPS |
|
|
Image Classification (Q)
|
97% |
15167
2.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1231
20.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18026
292.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
23364
378.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5887
6.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
99149
115.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
98631
115.6 IPS |
|
|
Object Detection (SP)
|
100% |
1321
104.8 IPS |
|
|
Object Detection (HP)
|
99% |
15738
1.25 KIPS |
|
|
Object Detection (Q)
|
89% |
17014
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
2781
33.0 IPS |
|
|
Face Detection (HP)
|
100% |
34338
408.0 IPS |
|
|
Face Detection (Q)
|
100% |
44369
527.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5012
38.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
86749
668.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
105496
825.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15924
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
202022
259.7 IPS |
|
|
Style Transfer (Q)
|
96% |
189024
243.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3556
131.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41552
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47727
1.76 KIPS |
|
|
Text Classification (SP)
|
100% |
4007
5.35 KIPS |
|
|
Text Classification (HP)
|
100% |
6204
8.28 KIPS |
|
|
Text Classification (Q)
|
92% |
6224
8.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3108
53.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3667
63.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3768
65.1 IPS |
