MacBook Air (2022)
Geekbench AI Score
2001
Single Precision Score
18446
Half Precision Score
19725
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Uty |
| Upload Date | May 18 2025 12:05 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 1.95 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
883
164.2 IPS |
|
|
Image Classification (HP)
|
100% |
11119
2.07 KIPS |
|
|
Image Classification (Q)
|
96% |
12747
2.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
995
16.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
14161
229.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
18114
293.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4196
4.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
67647
78.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
66778
78.3 IPS |
|
|
Object Detection (SP)
|
100% |
1011
80.2 IPS |
|
|
Object Detection (HP)
|
99% |
11653
927.0 IPS |
|
|
Object Detection (Q)
|
91% |
12112
967.8 IPS |
|
|
Face Detection (SP)
|
100% |
1813
21.5 IPS |
|
|
Face Detection (HP)
|
100% |
21509
255.6 IPS |
|
|
Face Detection (Q)
|
100% |
29166
346.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3313
25.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
61935
477.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
46981
367.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4636
5.96 IPS |
|
|
Style Transfer (HP)
|
100% |
139462
179.3 IPS |
|
|
Style Transfer (Q)
|
96% |
135276
174.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2617
96.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29660
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35379
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
1512
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
2411
3.22 KIPS |
|
|
Text Classification (Q)
|
93% |
2388
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2511
43.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2767
47.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3050
52.7 IPS |
