MacBook Air (2022)
Geekbench AI Score
3458
Single Precision Score
24802
Half Precision Score
27389
Quantized Score
Geekbench AI 1.0.0 Pro for macOS AArch64
Result Information
| User | Swissnightlover |
| Upload Date | October 30 2024 08:15 PM |
| Views | 15 |
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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1372
255.2 IPS |
|
|
Image Classification (HP)
|
100% |
14485
2.69 KIPS |
|
|
Image Classification (Q)
|
99% |
15279
2.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1534
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
14563
236.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
14940
242.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6864
8.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
99492
116.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
101481
119.0 IPS |
|
|
Object Detection (SP)
|
100% |
1547
122.7 IPS |
|
|
Object Detection (HP)
|
99% |
14837
1.18 KIPS |
|
|
Object Detection (Q)
|
91% |
17185
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3132
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
23748
282.2 IPS |
|
|
Face Detection (Q)
|
100% |
35781
425.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5638
43.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
75633
582.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
83044
642.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18771
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
154931
199.2 IPS |
|
|
Style Transfer (Q)
|
100% |
155547
200.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4061
150.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41034
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
47844
1.77 KIPS |
|
|
Text Classification (SP)
|
100% |
2274
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3806
5.08 KIPS |
|
|
Text Classification (Q)
|
93% |
3777
5.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3580
61.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6509
112.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7147
123.5 IPS |
