MacBook Air (2022)
Geekbench AI Score
2068
Single Precision Score
11797
Half Precision Score
12283
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | gundamf90 |
| Upload Date | August 18 2024 01:50 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
1153
214.5 IPS |
|
|
Image Classification (HP)
|
100% |
7398
1.38 KIPS |
|
|
Image Classification (Q)
|
99% |
7735
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
714
11.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4972
80.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
4982
80.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5989
6.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
87713
102.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
86895
101.9 IPS |
|
|
Object Detection (SP)
|
100% |
1214
96.3 IPS |
|
|
Object Detection (HP)
|
99% |
8397
667.9 IPS |
|
|
Object Detection (Q)
|
93% |
8855
706.6 IPS |
|
|
Face Detection (SP)
|
100% |
1778
21.1 IPS |
|
|
Face Detection (HP)
|
100% |
11113
132.0 IPS |
|
|
Face Detection (Q)
|
100% |
12803
152.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3503
27.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
49819
383.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
54349
420.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10184
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
136684
175.7 IPS |
|
|
Style Transfer (Q)
|
100% |
135278
173.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2972
109.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19498
720.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
24723
916.0 IPS |
|
|
Text Classification (SP)
|
100% |
845
1.13 KIPS |
|
|
Text Classification (HP)
|
100% |
543
724.3 IPS |
|
|
Text Classification (Q)
|
93% |
471
631.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1503
25.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2407
41.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2407
41.6 IPS |
