MacBook Air (2022)
Geekbench AI Score
3447
Single Precision Score
5917
Half Precision Score
5161
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | pakitt |
| Upload Date | October 28 2024 08:12 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1378
256.2 IPS |
|
|
Image Classification (HP)
|
100% |
2508
466.4 IPS |
|
|
Image Classification (Q)
|
99% |
2492
464.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1518
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2452
39.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
2436
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6859
8.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
14821
17.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
12660
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1559
123.6 IPS |
|
|
Object Detection (HP)
|
97% |
2855
227.3 IPS |
|
|
Object Detection (Q)
|
94% |
2057
163.9 IPS |
|
|
Face Detection (SP)
|
100% |
3053
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
5959
70.8 IPS |
|
|
Face Detection (Q)
|
100% |
3453
41.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5671
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11622
89.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
11551
89.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18712
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28372
36.5 IPS |
|
|
Style Transfer (Q)
|
100% |
28334
36.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4058
149.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4802
177.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3498
129.6 IPS |
|
|
Text Classification (SP)
|
100% |
2286
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3750
5.01 KIPS |
|
|
Text Classification (Q)
|
93% |
3733
5.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3533
60.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5715
98.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5754
99.4 IPS |
