MacBook Air (2022)
Geekbench AI Score
2986
Single Precision Score
26514
Half Precision Score
28221
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 01:55 PM |
| Views | 7 |
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 | 3.34 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1215
225.9 IPS |
|
|
Image Classification (HP)
|
100% |
13411
2.49 KIPS |
|
|
Image Classification (Q)
|
97% |
14939
2.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1326
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
15971
258.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
19515
316.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5864
6.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
105703
123.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
105303
123.4 IPS |
|
|
Object Detection (SP)
|
100% |
1339
106.2 IPS |
|
|
Object Detection (HP)
|
99% |
13539
1.08 KIPS |
|
|
Object Detection (Q)
|
89% |
14587
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
2264
26.9 IPS |
|
|
Face Detection (HP)
|
100% |
34353
408.2 IPS |
|
|
Face Detection (Q)
|
100% |
30529
362.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3246
25.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
86366
665.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
110619
865.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16801
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
203674
261.8 IPS |
|
|
Style Transfer (Q)
|
96% |
191671
247.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3578
132.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42162
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49558
1.83 KIPS |
|
|
Text Classification (SP)
|
99% |
3966
5.29 KIPS |
|
|
Text Classification (HP)
|
99% |
6379
8.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5762
7.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
2549
43.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3447
59.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3872
66.9 IPS |
