MacBook Air (2022)
Geekbench AI Score
3452
Single Precision Score
23278
Half Precision Score
25375
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | DragonLand |
| Upload Date | October 08 2024 07:37 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1374
255.5 IPS |
|
|
Image Classification (HP)
|
100% |
14319
2.66 KIPS |
|
|
Image Classification (Q)
|
96% |
15290
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1520
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9804
158.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10863
176.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6846
7.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
105441
123.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
104920
123.0 IPS |
|
|
Object Detection (SP)
|
100% |
1552
123.1 IPS |
|
|
Object Detection (HP)
|
99% |
15302
1.22 KIPS |
|
|
Object Detection (Q)
|
91% |
17448
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
3126
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
33609
399.3 IPS |
|
|
Face Detection (Q)
|
100% |
42514
505.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5679
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
86730
668.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
106882
835.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18669
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
201979
259.6 IPS |
|
|
Style Transfer (Q)
|
96% |
190529
245.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4062
150.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39707
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47709
1.76 KIPS |
|
|
Text Classification (SP)
|
100% |
2225
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3722
4.97 KIPS |
|
|
Text Classification (Q)
|
93% |
3700
4.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3623
62.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2371
40.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2382
41.2 IPS |
