MacBook Air (2022)
Geekbench AI Score
3331
Single Precision Score
27442
Half Precision Score
30143
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 31 2025 06:33 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B77) |
| 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1305
242.7 IPS |
|
|
Image Classification (HP)
|
100% |
15146
2.82 KIPS |
|
|
Image Classification (Q)
|
96% |
16129
3.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1482
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19975
323.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24502
397.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6306
7.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
106919
124.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
106315
124.6 IPS |
|
|
Object Detection (SP)
|
100% |
1402
111.2 IPS |
|
|
Object Detection (HP)
|
99% |
16328
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
18314
1.46 KIPS |
|
|
Face Detection (SP)
|
100% |
3088
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
34805
413.6 IPS |
|
|
Face Detection (Q)
|
100% |
44545
529.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5442
41.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
89799
691.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
113096
883.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18079
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
206364
265.3 IPS |
|
|
Style Transfer (Q)
|
96% |
197247
254.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3793
140.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42067
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46487
1.72 KIPS |
|
|
Text Classification (SP)
|
100% |
2385
3.18 KIPS |
|
|
Text Classification (HP)
|
99% |
3991
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3975
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3580
61.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4236
73.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4384
75.8 IPS |
