MacBook Air (2022)
Geekbench AI Score
3016
Single Precision Score
5369
Half Precision Score
4315
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | wbednarski |
| Upload Date | March 21 2025 11:20 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 3.38 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1220
226.9 IPS |
|
|
Image Classification (HP)
|
100% |
2145
398.9 IPS |
|
|
Image Classification (Q)
|
96% |
1597
298.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1248
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2224
36.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2616
42.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5911
6.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
13727
16.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
11212
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1351
107.1 IPS |
|
|
Object Detection (HP)
|
97% |
2525
201.0 IPS |
|
|
Object Detection (Q)
|
94% |
1875
149.5 IPS |
|
|
Face Detection (SP)
|
100% |
2678
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
5329
63.3 IPS |
|
|
Face Detection (Q)
|
100% |
3155
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5051
38.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10896
84.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
6981
54.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16214
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
25408
32.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21396
27.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3726
137.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4469
165.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3131
115.6 IPS |
|
|
Text Classification (SP)
|
100% |
2157
2.88 KIPS |
|
|
Text Classification (HP)
|
100% |
3662
4.89 KIPS |
|
|
Text Classification (Q)
|
93% |
3661
4.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
2911
50.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4987
86.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4718
81.5 IPS |
