MacBook Air (2022)
Geekbench AI Score
6281
Single Precision Score
7008
Half Precision Score
6668
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | dmfallatah |
| Upload Date | October 20 2025 09:19 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
3381
628.8 IPS |
|
|
Image Classification (HP)
|
100% |
3252
604.8 IPS |
|
|
Image Classification (Q)
|
96% |
2947
550.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4787
77.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4915
79.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4699
76.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
19840
23.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
22005
25.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
21323
25.0 IPS |
|
|
Object Detection (SP)
|
100% |
3247
257.5 IPS |
|
|
Object Detection (HP)
|
100% |
3242
257.2 IPS |
|
|
Object Detection (Q)
|
92% |
2931
233.9 IPS |
|
|
Face Detection (SP)
|
100% |
9197
109.3 IPS |
|
|
Face Detection (HP)
|
100% |
10314
122.6 IPS |
|
|
Face Detection (Q)
|
100% |
8679
103.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13602
104.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
15112
116.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
13943
108.9 IPS |
|
|
Style Transfer (SP)
|
100% |
36071
46.4 IPS |
|
|
Style Transfer (HP)
|
100% |
40732
52.4 IPS |
|
|
Style Transfer (Q)
|
96% |
39580
51.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7820
288.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8503
314.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7448
275.0 IPS |
|
|
Text Classification (SP)
|
100% |
2314
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3911
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
3920
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1124
19.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1188
20.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1436
24.8 IPS |
