MacBook Air (2022)
Geekbench AI Score
7418
Single Precision Score
8122
Half Precision Score
7650
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | dionatanfelipe |
| Upload Date | October 25 2025 02:48 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3730
693.7 IPS |
|
|
Image Classification (HP)
|
100% |
3719
691.6 IPS |
|
|
Image Classification (Q)
|
96% |
3396
634.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
5778
93.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5963
96.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
5697
92.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
24731
28.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
26853
31.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
26032
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
3738
296.5 IPS |
|
|
Object Detection (HP)
|
100% |
3833
304.1 IPS |
|
|
Object Detection (Q)
|
92% |
3580
285.8 IPS |
|
|
Face Detection (SP)
|
100% |
10393
123.5 IPS |
|
|
Face Detection (HP)
|
100% |
12236
145.4 IPS |
|
|
Face Detection (Q)
|
100% |
10156
120.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
17236
132.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
18162
139.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
16760
130.9 IPS |
|
|
Style Transfer (SP)
|
100% |
42963
55.2 IPS |
|
|
Style Transfer (HP)
|
100% |
49370
63.5 IPS |
|
|
Style Transfer (Q)
|
96% |
48309
62.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9989
368.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10383
383.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8904
328.8 IPS |
|
|
Text Classification (SP)
|
100% |
2319
3.10 KIPS |
|
|
Text Classification (HP)
|
99% |
3816
5.09 KIPS |
|
|
Text Classification (Q)
|
93% |
3820
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1421
24.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1260
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1363
23.6 IPS |
