MacBook Air (2022)
Geekbench AI Score
5246
Single Precision Score
5444
Half Precision Score
4832
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | trauts |
| Upload Date | August 15 2024 07:39 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
3196
594.4 IPS |
|
|
Image Classification (HP)
|
100% |
3070
570.9 IPS |
|
|
Image Classification (Q)
|
99% |
2790
520.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3532
57.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4164
67.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
4055
65.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
19669
23.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
21154
24.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
18821
22.1 IPS |
|
|
Object Detection (SP)
|
100% |
3151
250.0 IPS |
|
|
Object Detection (HP)
|
100% |
3135
248.7 IPS |
|
|
Object Detection (Q)
|
92% |
2477
197.7 IPS |
|
|
Face Detection (SP)
|
100% |
8914
105.9 IPS |
|
|
Face Detection (HP)
|
100% |
9850
117.0 IPS |
|
|
Face Detection (Q)
|
100% |
6578
78.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13463
103.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
14657
112.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
14537
112.4 IPS |
|
|
Style Transfer (SP)
|
100% |
35941
46.2 IPS |
|
|
Style Transfer (HP)
|
100% |
39999
51.4 IPS |
|
|
Style Transfer (Q)
|
100% |
39246
50.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7641
282.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8269
305.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6185
229.1 IPS |
|
|
Text Classification (SP)
|
100% |
674
899.3 IPS |
|
|
Text Classification (HP)
|
100% |
538
718.4 IPS |
|
|
Text Classification (Q)
|
93% |
536
718.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1017
17.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1050
18.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1059
18.3 IPS |
