MacBook Air (2022)
Geekbench AI Score
3485
Single Precision Score
26506
Half Precision Score
29395
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Yitian |
| Upload Date | March 08 2025 06:02 PM |
| Views | 12 |
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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1402
260.6 IPS |
|
|
Image Classification (HP)
|
100% |
14949
2.78 KIPS |
|
|
Image Classification (Q)
|
96% |
15069
2.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1535
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19373
314.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23905
387.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6895
8.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
103170
120.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
105254
123.4 IPS |
|
|
Object Detection (SP)
|
100% |
1574
124.8 IPS |
|
|
Object Detection (HP)
|
99% |
15438
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
17654
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
3147
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
33077
393.0 IPS |
|
|
Face Detection (Q)
|
100% |
42877
509.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5803
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
87676
675.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
111166
868.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18764
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
202827
260.7 IPS |
|
|
Style Transfer (Q)
|
96% |
190269
245.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4145
153.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40396
1.49 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49017
1.81 KIPS |
|
|
Text Classification (SP)
|
100% |
2235
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3740
4.99 KIPS |
|
|
Text Classification (Q)
|
93% |
3714
4.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3569
61.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4177
72.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4359
75.3 IPS |
