MacBook Air (2022)
Geekbench AI Score
1979
Single Precision Score
16813
Half Precision Score
17318
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 06:29 AM |
| 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 | 3.35 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1185
220.4 IPS |
|
|
Image Classification (HP)
|
100% |
13261
2.47 KIPS |
|
|
Image Classification (Q)
|
97% |
15009
2.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1243
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18630
302.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23278
377.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3876
4.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
28936
33.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
37007
43.4 IPS |
|
|
Object Detection (SP)
|
100% |
577
45.8 IPS |
|
|
Object Detection (HP)
|
99% |
4651
370.0 IPS |
|
|
Object Detection (Q)
|
89% |
5936
475.2 IPS |
|
|
Face Detection (SP)
|
100% |
1722
20.5 IPS |
|
|
Face Detection (HP)
|
100% |
23271
276.5 IPS |
|
|
Face Detection (Q)
|
100% |
12599
149.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1102
8.49 IPS |
|
|
Depth Estimation (HP)
|
99% |
54253
418.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
68636
536.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9479
12.2 IPS |
|
|
Style Transfer (HP)
|
100% |
149577
192.3 IPS |
|
|
Style Transfer (Q)
|
96% |
89396
115.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1927
71.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27174
1.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32256
1.19 KIPS |
|
|
Text Classification (SP)
|
99% |
2881
3.85 KIPS |
|
|
Text Classification (HP)
|
99% |
4015
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4643
6.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
2801
48.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2635
45.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2732
47.2 IPS |
