MacBook Air (2022)
Geekbench AI Score
3388
Single Precision Score
26369
Half Precision Score
29410
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Mint_roo |
| Upload Date | February 05 2025 12:53 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
1285
238.9 IPS |
|
|
Image Classification (HP)
|
100% |
13670
2.54 KIPS |
|
|
Image Classification (Q)
|
96% |
15396
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1408
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19182
311.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23767
385.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6820
7.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
104706
122.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
105580
123.7 IPS |
|
|
Object Detection (SP)
|
100% |
1536
121.9 IPS |
|
|
Object Detection (HP)
|
99% |
15693
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
17381
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
3125
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
33556
398.7 IPS |
|
|
Face Detection (Q)
|
100% |
42785
508.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5619
43.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
87761
676.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
109301
854.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18630
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
204114
262.4 IPS |
|
|
Style Transfer (Q)
|
96% |
197501
254.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4088
151.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40763
1.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50092
1.85 KIPS |
|
|
Text Classification (SP)
|
100% |
2236
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3757
5.01 KIPS |
|
|
Text Classification (Q)
|
93% |
3722
5.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3519
60.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4098
70.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4188
72.4 IPS |
