MacBook Air (2022)
Geekbench AI Score
3335
Single Precision Score
5796
Half Precision Score
4642
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Uty |
| Upload Date | May 20 2025 08:57 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.45 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1362
253.2 IPS |
|
|
Image Classification (HP)
|
100% |
2444
454.5 IPS |
|
|
Image Classification (Q)
|
96% |
1703
318.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1506
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2422
39.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2791
45.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6729
7.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
14741
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12566
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1459
115.8 IPS |
|
|
Object Detection (HP)
|
97% |
2718
216.4 IPS |
|
|
Object Detection (Q)
|
94% |
1972
157.2 IPS |
|
|
Face Detection (SP)
|
100% |
2996
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
5757
68.4 IPS |
|
|
Face Detection (Q)
|
100% |
3318
39.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5421
41.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11170
86.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7660
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17399
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
27577
35.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22957
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3932
145.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4780
176.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3508
129.5 IPS |
|
|
Text Classification (SP)
|
100% |
2206
2.94 KIPS |
|
|
Text Classification (HP)
|
100% |
3751
5.01 KIPS |
|
|
Text Classification (Q)
|
93% |
3738
5.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3454
59.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5677
98.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5159
89.2 IPS |
