MacBook Air (2022)
Geekbench AI Score
3444
Single Precision Score
26635
Half Precision Score
30191
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Tianli |
| Upload Date | May 07 2025 04:31 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1386
257.7 IPS |
|
|
Image Classification (HP)
|
100% |
14101
2.62 KIPS |
|
|
Image Classification (Q)
|
96% |
15592
2.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1480
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19366
313.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23988
388.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6816
7.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
105254
122.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
106306
124.6 IPS |
|
|
Object Detection (SP)
|
100% |
1520
120.6 IPS |
|
|
Object Detection (HP)
|
99% |
15585
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
18215
1.46 KIPS |
|
|
Face Detection (SP)
|
100% |
2966
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
32556
386.8 IPS |
|
|
Face Detection (Q)
|
100% |
43346
515.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5558
42.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
88909
685.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
112573
879.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18626
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
202764
260.7 IPS |
|
|
Style Transfer (Q)
|
96% |
196600
253.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4048
149.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41317
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51478
1.90 KIPS |
|
|
Text Classification (SP)
|
100% |
2398
3.20 KIPS |
|
|
Text Classification (HP)
|
100% |
3891
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3991
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3714
64.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4252
73.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4408
76.2 IPS |
