MacBook Air M2 MacBook Air (2022)
Geekbench AI Score
3449
Single Precision Score
27250
Half Precision Score
30489
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | MaybeHS |
| Upload Date | November 09 2024 06:12 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 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% |
1399
260.1 IPS |
|
|
Image Classification (HP)
|
100% |
14303
2.66 KIPS |
|
|
Image Classification (Q)
|
96% |
15456
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1528
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18575
301.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23579
382.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6865
8.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
102908
120.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
104700
122.7 IPS |
|
|
Object Detection (SP)
|
100% |
1557
123.5 IPS |
|
|
Object Detection (HP)
|
99% |
15076
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
17237
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3105
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
33384
396.7 IPS |
|
|
Face Detection (Q)
|
100% |
43084
511.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5688
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
86203
664.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
107313
838.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18679
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
199726
256.8 IPS |
|
|
Style Transfer (Q)
|
96% |
188600
243.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4040
149.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39678
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47539
1.76 KIPS |
|
|
Text Classification (SP)
|
100% |
2216
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3821
5.10 KIPS |
|
|
Text Classification (Q)
|
93% |
3730
5.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3535
60.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6287
108.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6827
118.0 IPS |
