MacBook Air (2022)
Geekbench AI Score
7225
Single Precision Score
8082
Half Precision Score
7740
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | radiant803 |
| Upload Date | November 17 2025 02:44 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
3722
692.2 IPS |
|
|
Image Classification (HP)
|
100% |
3728
693.2 IPS |
|
|
Image Classification (Q)
|
96% |
3380
631.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
5805
94.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5941
96.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5718
92.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
24529
28.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
26680
31.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
26016
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
2859
226.8 IPS |
|
|
Object Detection (HP)
|
100% |
2920
231.6 IPS |
|
|
Object Detection (Q)
|
92% |
3471
277.1 IPS |
|
|
Face Detection (SP)
|
100% |
10475
124.5 IPS |
|
|
Face Detection (HP)
|
100% |
12173
144.6 IPS |
|
|
Face Detection (Q)
|
100% |
10172
120.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
16191
124.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
17572
135.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
16598
129.6 IPS |
|
|
Style Transfer (SP)
|
100% |
42418
54.5 IPS |
|
|
Style Transfer (HP)
|
100% |
49538
63.7 IPS |
|
|
Style Transfer (Q)
|
96% |
47592
61.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9902
365.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10193
376.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8800
324.9 IPS |
|
|
Text Classification (SP)
|
100% |
2362
3.15 KIPS |
|
|
Text Classification (HP)
|
99% |
4019
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
3966
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1521
26.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1588
27.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1577
27.3 IPS |
