MacBook Air (2022)
Geekbench AI Score
3297
Single Precision Score
5720
Half Precision Score
5028
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | themc68 |
| Upload Date | September 03 2024 01:47 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5309e) |
| 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 | 3.29 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1317
244.9 IPS |
|
|
Image Classification (HP)
|
100% |
2379
442.4 IPS |
|
|
Image Classification (Q)
|
99% |
2457
458.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1454
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2334
37.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
2370
38.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6393
7.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
14427
16.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
11836
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1334
105.8 IPS |
|
|
Object Detection (HP)
|
97% |
2548
202.9 IPS |
|
|
Object Detection (Q)
|
94% |
1975
157.4 IPS |
|
|
Face Detection (SP)
|
100% |
2961
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
5914
70.3 IPS |
|
|
Face Detection (Q)
|
100% |
3380
40.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5533
42.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11249
86.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
11264
87.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18285
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
27987
36.0 IPS |
|
|
Style Transfer (Q)
|
100% |
27925
35.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4027
148.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4863
179.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3528
130.7 IPS |
|
|
Text Classification (SP)
|
100% |
2196
2.93 KIPS |
|
|
Text Classification (HP)
|
100% |
3570
4.77 KIPS |
|
|
Text Classification (Q)
|
93% |
3606
4.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3511
60.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5692
98.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5618
97.1 IPS |
