MacBook Air (2022)
Geekbench AI Score
3463
Single Precision Score
26332
Half Precision Score
29317
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 12 2025 11:52 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 3.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1364
253.7 IPS |
|
|
Image Classification (HP)
|
100% |
13940
2.59 KIPS |
|
|
Image Classification (Q)
|
96% |
15015
2.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1543
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19018
308.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23485
380.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6853
8.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
103965
121.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
104694
122.7 IPS |
|
|
Object Detection (SP)
|
100% |
1542
122.3 IPS |
|
|
Object Detection (HP)
|
99% |
15872
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
18007
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
3171
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
33428
397.2 IPS |
|
|
Face Detection (Q)
|
100% |
43115
512.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5732
44.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
87555
674.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
111772
873.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18620
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
201938
259.6 IPS |
|
|
Style Transfer (Q)
|
96% |
192357
248.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4075
150.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40318
1.49 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49576
1.83 KIPS |
|
|
Text Classification (SP)
|
100% |
2266
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3742
5.00 KIPS |
|
|
Text Classification (Q)
|
93% |
3731
5.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3570
61.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4109
70.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4116
71.1 IPS |
