MacBook Air (2022)
Geekbench AI Score
6542
Single Precision Score
7176
Half Precision Score
5471
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | ESPD |
| Upload Date | November 12 2024 03:32 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5057p) |
| 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% |
3672
682.8 IPS |
|
|
Image Classification (HP)
|
100% |
3554
661.0 IPS |
|
|
Image Classification (Q)
|
99% |
3524
657.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4057
65.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5032
81.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
5030
81.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
24707
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26262
30.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
23976
28.1 IPS |
|
|
Object Detection (SP)
|
100% |
3410
270.5 IPS |
|
|
Object Detection (HP)
|
100% |
3270
259.4 IPS |
|
|
Object Detection (Q)
|
91% |
3052
243.9 IPS |
|
|
Face Detection (SP)
|
100% |
10378
123.3 IPS |
|
|
Face Detection (HP)
|
100% |
11916
141.6 IPS |
|
|
Face Detection (Q)
|
100% |
8313
98.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
16705
128.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
18061
139.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
2806
21.7 IPS |
|
|
Style Transfer (SP)
|
100% |
42250
54.3 IPS |
|
|
Style Transfer (HP)
|
100% |
48550
62.4 IPS |
|
|
Style Transfer (Q)
|
100% |
48453
62.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9731
359.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10121
373.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7834
290.3 IPS |
|
|
Text Classification (SP)
|
100% |
2237
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3701
4.94 KIPS |
|
|
Text Classification (Q)
|
93% |
3702
4.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
718
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
603
10.4 IPS |
|
|
Machine Translation (Q)
|
98% |
566
9.77 IPS |
