MacBook Air (2022)
Geekbench AI Score
3444
Single Precision Score
5933
Half Precision Score
4808
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | andriyfedorov |
| Upload Date | October 08 2024 04:02 AM |
| Views | 3 |
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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1370
254.7 IPS |
|
|
Image Classification (HP)
|
100% |
2515
467.8 IPS |
|
|
Image Classification (Q)
|
96% |
1761
328.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1522
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2458
39.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2819
45.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6835
7.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
14853
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12757
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1545
122.5 IPS |
|
|
Object Detection (HP)
|
97% |
2834
225.7 IPS |
|
|
Object Detection (Q)
|
94% |
2047
163.2 IPS |
|
|
Face Detection (SP)
|
100% |
3123
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
6063
72.0 IPS |
|
|
Face Detection (Q)
|
100% |
3516
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5673
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11571
89.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7972
62.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18577
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28341
36.4 IPS |
|
|
Style Transfer (Q)
|
96% |
23677
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4040
149.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4794
177.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3540
130.7 IPS |
|
|
Text Classification (SP)
|
100% |
2257
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3767
5.03 KIPS |
|
|
Text Classification (Q)
|
93% |
3755
5.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3561
61.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5785
100.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5777
99.8 IPS |
