MacBook Air (2022)
Geekbench AI Score
2811
Single Precision Score
25212
Half Precision Score
27981
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 03:08 PM |
| Views | 10 |
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 | 3.31 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1270
236.2 IPS |
|
|
Image Classification (HP)
|
100% |
13757
2.56 KIPS |
|
|
Image Classification (Q)
|
97% |
15827
2.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1369
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19432
315.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23431
379.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4786
5.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
80477
93.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
96336
112.9 IPS |
|
|
Object Detection (SP)
|
100% |
1319
104.6 IPS |
|
|
Object Detection (HP)
|
99% |
13088
1.04 KIPS |
|
|
Object Detection (Q)
|
89% |
12959
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
1961
23.3 IPS |
|
|
Face Detection (HP)
|
100% |
24292
288.6 IPS |
|
|
Face Detection (Q)
|
100% |
34869
414.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3728
28.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
84601
651.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
80844
632.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9904
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
201027
258.4 IPS |
|
|
Style Transfer (Q)
|
96% |
186072
240.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2854
105.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40805
1.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47622
1.76 KIPS |
|
|
Text Classification (SP)
|
99% |
4074
5.44 KIPS |
|
|
Text Classification (HP)
|
100% |
6430
8.58 KIPS |
|
|
Text Classification (Q)
|
93% |
6336
8.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3336
57.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3400
58.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4016
69.4 IPS |
