MacBook Air (2022)
Geekbench AI Score
3445
Single Precision Score
5932
Half Precision Score
5185
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | pakitt |
| Upload Date | October 04 2024 12:54 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1379
256.4 IPS |
|
|
Image Classification (HP)
|
100% |
2482
461.6 IPS |
|
|
Image Classification (Q)
|
99% |
2487
463.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1506
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2461
39.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
2432
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6884
8.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
14973
17.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
12839
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1554
123.3 IPS |
|
|
Object Detection (HP)
|
97% |
2861
227.7 IPS |
|
|
Object Detection (Q)
|
94% |
2057
163.9 IPS |
|
|
Face Detection (SP)
|
100% |
3091
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
5979
71.0 IPS |
|
|
Face Detection (Q)
|
100% |
3524
41.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5687
43.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11666
90.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
11655
90.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18710
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28567
36.7 IPS |
|
|
Style Transfer (Q)
|
100% |
28515
36.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4119
152.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4815
177.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3525
130.6 IPS |
|
|
Text Classification (SP)
|
100% |
2222
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3753
5.01 KIPS |
|
|
Text Classification (Q)
|
93% |
3709
4.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3521
60.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5727
99.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5742
99.2 IPS |
