MacBook Air (2022)
Geekbench AI Score
5419
Single Precision Score
5589
Half Precision Score
1871
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 30 2024 02:50 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.7 (Build 23H124) |
| 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% |
3184
592.0 IPS |
|
|
Image Classification (HP)
|
100% |
3082
573.1 IPS |
|
|
Image Classification (Q)
|
97% |
2392
446.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3627
58.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4172
67.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4010
65.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
19845
23.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
21235
24.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
19258
22.6 IPS |
|
|
Object Detection (SP)
|
100% |
2777
220.3 IPS |
|
|
Object Detection (HP)
|
100% |
3229
256.1 IPS |
|
|
Object Detection (Q)
|
92% |
2435
194.3 IPS |
|
|
Face Detection (SP)
|
100% |
8897
105.7 IPS |
|
|
Face Detection (HP)
|
100% |
9815
116.6 IPS |
|
|
Face Detection (Q)
|
100% |
6598
78.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13551
104.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
14545
112.1 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
87.4 IPS |
|
|
Style Transfer (SP)
|
100% |
35895
46.1 IPS |
|
|
Style Transfer (HP)
|
100% |
39945
51.4 IPS |
|
|
Style Transfer (Q)
|
96% |
36781
47.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7648
282.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8237
304.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6240
230.4 IPS |
|
|
Text Classification (SP)
|
100% |
1095
1.46 KIPS |
|
|
Text Classification (HP)
|
100% |
743
991.4 IPS |
|
|
Text Classification (Q)
|
93% |
735
987.1 IPS |
|
|
Machine Translation (SP)
|
100% |
948
16.3 IPS |
|
|
Machine Translation (HP)
|
100% |
967
16.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1051
18.2 IPS |
