MacBook Air (2022)
Geekbench AI Score
6189
Single Precision Score
6898
Half Precision Score
6444
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 28 2025 11:16 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5072a) |
| 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 | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3322
617.8 IPS |
|
|
Image Classification (HP)
|
100% |
3227
600.1 IPS |
|
|
Image Classification (Q)
|
96% |
2911
543.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4873
79.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4960
80.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4727
76.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
19796
23.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
21932
25.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
21296
24.9 IPS |
|
|
Object Detection (SP)
|
100% |
2830
224.5 IPS |
|
|
Object Detection (HP)
|
100% |
2828
224.3 IPS |
|
|
Object Detection (Q)
|
92% |
2915
232.6 IPS |
|
|
Face Detection (SP)
|
100% |
8695
103.3 IPS |
|
|
Face Detection (HP)
|
100% |
9678
115.0 IPS |
|
|
Face Detection (Q)
|
100% |
8150
96.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13183
101.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
14526
111.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
13196
103.1 IPS |
|
|
Style Transfer (SP)
|
100% |
36181
46.5 IPS |
|
|
Style Transfer (HP)
|
100% |
40549
52.1 IPS |
|
|
Style Transfer (Q)
|
96% |
39447
50.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7856
290.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8308
306.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7249
267.7 IPS |
|
|
Text Classification (SP)
|
100% |
2264
3.02 KIPS |
|
|
Text Classification (HP)
|
99% |
3616
4.83 KIPS |
|
|
Text Classification (Q)
|
93% |
3623
4.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
1233
21.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1435
24.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1299
22.5 IPS |
