MacBook Air (2022)
Geekbench AI Score
3426
Single Precision Score
20976
Half Precision Score
22946
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | theodore927 |
| Upload Date | August 23 2024 10:49 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5327a) |
| 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% |
1373
255.4 IPS |
|
|
Image Classification (HP)
|
100% |
13896
2.58 KIPS |
|
|
Image Classification (Q)
|
99% |
14534
2.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1509
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9020
146.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
9007
146.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6864
8.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
100114
116.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
100803
118.2 IPS |
|
|
Object Detection (SP)
|
100% |
1548
122.8 IPS |
|
|
Object Detection (HP)
|
99% |
14603
1.16 KIPS |
|
|
Object Detection (Q)
|
91% |
17158
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3079
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
23104
274.5 IPS |
|
|
Face Detection (Q)
|
100% |
35390
420.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5652
43.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
74958
577.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
81622
631.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18642
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
155404
199.8 IPS |
|
|
Style Transfer (Q)
|
100% |
154335
198.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4046
149.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39284
1.45 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
48023
1.78 KIPS |
|
|
Text Classification (SP)
|
100% |
2167
2.89 KIPS |
|
|
Text Classification (HP)
|
100% |
3590
4.79 KIPS |
|
|
Text Classification (Q)
|
93% |
3552
4.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
3559
61.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2372
40.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2351
40.6 IPS |
