MacBook Air (2022)
Geekbench AI Score
3432
Single Precision Score
26484
Half Precision Score
29438
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | AdamOp |
| Upload Date | August 20 2025 08:16 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1374
255.6 IPS |
|
|
Image Classification (HP)
|
100% |
14805
2.75 KIPS |
|
|
Image Classification (Q)
|
96% |
15679
2.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1479
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19605
317.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23917
387.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6817
7.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
101410
118.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
106480
124.8 IPS |
|
|
Object Detection (SP)
|
100% |
1522
120.7 IPS |
|
|
Object Detection (HP)
|
99% |
15196
1.21 KIPS |
|
|
Object Detection (Q)
|
91% |
17281
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3047
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
33387
396.7 IPS |
|
|
Face Detection (Q)
|
100% |
42288
502.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5522
42.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
86372
665.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
107815
842.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18603
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
201992
259.7 IPS |
|
|
Style Transfer (Q)
|
96% |
188474
243.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3942
145.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39030
1.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47412
1.75 KIPS |
|
|
Text Classification (SP)
|
100% |
2349
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
3901
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3857
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3713
64.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4280
73.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4509
77.9 IPS |
