MacBook Air (2022)
Geekbench AI Score
2990
Single Precision Score
3789
Half Precision Score
3304
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | SssR1 |
| Upload Date | April 10 2025 05:52 AM |
| Views | 24 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 1.94 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1801
335.0 IPS |
|
|
Image Classification (HP)
|
100% |
1994
370.8 IPS |
|
|
Image Classification (Q)
|
96% |
2012
375.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1786
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3529
57.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3561
57.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15364
17.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
14561
17.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
16528
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
1922
152.5 IPS |
|
|
Object Detection (HP)
|
100% |
2229
176.8 IPS |
|
|
Object Detection (Q)
|
92% |
1753
139.9 IPS |
|
|
Face Detection (SP)
|
100% |
5869
69.7 IPS |
|
|
Face Detection (HP)
|
100% |
6700
79.6 IPS |
|
|
Face Detection (Q)
|
100% |
5700
67.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10076
77.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
10904
84.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
3957
30.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11977
15.4 IPS |
|
|
Style Transfer (HP)
|
100% |
14183
18.2 IPS |
|
|
Style Transfer (Q)
|
96% |
14394
18.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2979
110.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4430
163.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4432
163.7 IPS |
|
|
Text Classification (SP)
|
100% |
348
464.7 IPS |
|
|
Text Classification (HP)
|
100% |
705
940.9 IPS |
|
|
Text Classification (Q)
|
93% |
655
879.3 IPS |
|
|
Machine Translation (SP)
|
100% |
821
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
827
14.3 IPS |
|
|
Machine Translation (Q)
|
98% |
794
13.7 IPS |
