MacBook Air (2022)
Geekbench AI Score
2266
Single Precision Score
3765
Half Precision Score
2991
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 11 2024 01:38 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 1.95 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
880
163.7 IPS |
|
|
Image Classification (HP)
|
100% |
1528
284.1 IPS |
|
|
Image Classification (Q)
|
96% |
1047
195.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1026
16.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1569
25.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1720
27.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4173
4.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
9271
10.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
7911
9.27 IPS |
|
|
Object Detection (SP)
|
100% |
1021
81.0 IPS |
|
|
Object Detection (HP)
|
97% |
1791
142.6 IPS |
|
|
Object Detection (Q)
|
94% |
1255
100.0 IPS |
|
|
Face Detection (SP)
|
100% |
2191
26.0 IPS |
|
|
Face Detection (HP)
|
100% |
3866
45.9 IPS |
|
|
Face Detection (Q)
|
100% |
2138
25.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3708
28.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
7357
56.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
4952
38.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11662
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
17709
22.8 IPS |
|
|
Style Transfer (Q)
|
96% |
14520
18.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2612
96.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3033
112.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2227
82.2 IPS |
|
|
Text Classification (SP)
|
100% |
1494
1.99 KIPS |
|
|
Text Classification (HP)
|
100% |
2401
3.20 KIPS |
|
|
Text Classification (Q)
|
93% |
2386
3.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2520
43.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3924
67.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3929
67.9 IPS |
