MacBook Air (2022)
Geekbench AI Score
3349
Single Precision Score
27585
Half Precision Score
30649
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 07:44 AM |
| Views | 12 |
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 | 3.44 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1264
235.1 IPS |
|
|
Image Classification (HP)
|
100% |
13617
2.53 KIPS |
|
|
Image Classification (Q)
|
97% |
15196
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1365
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19241
311.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24335
394.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5991
6.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
105126
122.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
104984
123.0 IPS |
|
|
Object Detection (SP)
|
100% |
1361
108.0 IPS |
|
|
Object Detection (HP)
|
99% |
15554
1.24 KIPS |
|
|
Object Detection (Q)
|
89% |
17405
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
2899
34.4 IPS |
|
|
Face Detection (HP)
|
100% |
34542
410.4 IPS |
|
|
Face Detection (Q)
|
100% |
46426
551.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5140
39.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
85855
661.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
108788
851.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17235
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
201925
259.6 IPS |
|
|
Style Transfer (Q)
|
96% |
189828
245.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3602
133.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41352
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45627
1.68 KIPS |
|
|
Text Classification (SP)
|
99% |
4096
5.47 KIPS |
|
|
Text Classification (HP)
|
99% |
6252
8.34 KIPS |
|
|
Text Classification (Q)
|
93% |
6150
8.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3333
57.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3847
66.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4024
69.5 IPS |
