MacBook Air (2022)
Geekbench AI Score
3440
Single Precision Score
5909
Half Precision Score
4791
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | cheltenham |
| Upload Date | September 09 2024 02:52 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5035e) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1372
255.1 IPS |
|
|
Image Classification (HP)
|
100% |
2514
467.6 IPS |
|
|
Image Classification (Q)
|
96% |
1752
327.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1524
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2458
39.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2826
45.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6862
8.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
14841
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12779
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1547
122.7 IPS |
|
|
Object Detection (HP)
|
97% |
2849
226.8 IPS |
|
|
Object Detection (Q)
|
94% |
2057
163.9 IPS |
|
|
Face Detection (SP)
|
100% |
3112
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
5926
70.4 IPS |
|
|
Face Detection (Q)
|
100% |
3429
40.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5654
43.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11508
89.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7987
62.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18603
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28534
36.7 IPS |
|
|
Style Transfer (Q)
|
96% |
23806
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4064
150.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4850
179.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3548
131.0 IPS |
|
|
Text Classification (SP)
|
100% |
2232
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3693
4.93 KIPS |
|
|
Text Classification (Q)
|
93% |
3671
4.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3528
60.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5707
98.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5772
99.7 IPS |
