MacBook Air (2022)
Geekbench AI Score
5753
Single Precision Score
6198
Half Precision Score
5590
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | DragonLand |
| Upload Date | October 08 2024 07:35 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3301
614.0 IPS |
|
|
Image Classification (HP)
|
100% |
3161
587.8 IPS |
|
|
Image Classification (Q)
|
97% |
2416
450.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3692
59.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4263
69.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4175
67.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
19880
23.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
21335
24.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
19555
22.9 IPS |
|
|
Object Detection (SP)
|
100% |
3089
245.0 IPS |
|
|
Object Detection (HP)
|
100% |
3182
252.4 IPS |
|
|
Object Detection (Q)
|
91% |
2461
196.6 IPS |
|
|
Face Detection (SP)
|
100% |
9412
111.8 IPS |
|
|
Face Detection (HP)
|
100% |
10290
122.3 IPS |
|
|
Face Detection (Q)
|
100% |
6949
82.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13629
105.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
14346
110.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
11287
88.2 IPS |
|
|
Style Transfer (SP)
|
100% |
36366
46.7 IPS |
|
|
Style Transfer (HP)
|
100% |
40211
51.7 IPS |
|
|
Style Transfer (Q)
|
96% |
37432
48.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7857
290.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8242
304.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6215
229.5 IPS |
|
|
Text Classification (SP)
|
100% |
2231
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3729
4.98 KIPS |
|
|
Text Classification (Q)
|
93% |
3707
4.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
649
11.2 IPS |
|
|
Machine Translation (HP)
|
100% |
502
8.65 IPS |
|
|
Machine Translation (Q)
|
98% |
908
15.7 IPS |
