MacBook Air (2022)
Geekbench AI Score
3453
Single Precision Score
23218
Half Precision Score
25249
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | DragonLand |
| Upload Date | October 08 2024 07:40 PM |
| Views | 14 |
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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1373
255.3 IPS |
|
|
Image Classification (HP)
|
100% |
14086
2.62 KIPS |
|
|
Image Classification (Q)
|
96% |
14577
2.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1515
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9854
159.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10942
177.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6885
8.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
103539
120.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
104764
122.8 IPS |
|
|
Object Detection (SP)
|
100% |
1556
123.4 IPS |
|
|
Object Detection (HP)
|
99% |
15148
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
17536
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
3127
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
33789
401.5 IPS |
|
|
Face Detection (Q)
|
100% |
42424
504.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5681
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
86439
666.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
106933
835.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18672
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
202079
259.8 IPS |
|
|
Style Transfer (Q)
|
96% |
188528
243.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4039
149.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39805
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47749
1.76 KIPS |
|
|
Text Classification (SP)
|
100% |
2255
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3729
4.98 KIPS |
|
|
Text Classification (Q)
|
93% |
3711
4.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3582
61.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2387
41.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2372
41.0 IPS |
