MacBook Air (2022)
Geekbench AI Score
1852
Single Precision Score
18241
Half Precision Score
20137
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 10:58 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 | 3.40 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
226.7 IPS |
|
|
Image Classification (HP)
|
100% |
14379
2.67 KIPS |
|
|
Image Classification (Q)
|
97% |
15095
2.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1310
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18625
301.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23653
383.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5747
6.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
105261
122.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
104959
123.0 IPS |
|
|
Object Detection (SP)
|
100% |
1207
95.8 IPS |
|
|
Object Detection (HP)
|
99% |
15574
1.24 KIPS |
|
|
Object Detection (Q)
|
89% |
15859
1.27 KIPS |
|
|
Face Detection (SP)
|
100% |
2151
25.6 IPS |
|
|
Face Detection (HP)
|
100% |
10482
124.6 IPS |
|
|
Face Detection (Q)
|
100% |
14582
173.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
746
5.75 IPS |
|
|
Depth Estimation (HP)
|
99% |
24203
186.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
23388
183.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2238
2.88 IPS |
|
|
Style Transfer (HP)
|
100% |
111132
142.9 IPS |
|
|
Style Transfer (Q)
|
96% |
119096
153.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2522
93.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26790
989.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
29029
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
1875
2.50 KIPS |
|
|
Text Classification (HP)
|
99% |
4711
6.29 KIPS |
|
|
Text Classification (Q)
|
92% |
6241
8.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2530
43.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2611
45.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2507
43.3 IPS |
