MacBook Air (2022)
Geekbench AI Score
6199
Single Precision Score
6445
Half Precision Score
2114
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 18 2024 08:36 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3515
653.7 IPS |
|
|
Image Classification (HP)
|
100% |
3529
656.2 IPS |
|
|
Image Classification (Q)
|
97% |
2723
508.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3961
64.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4943
80.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4818
78.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
24533
28.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
26132
30.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
23726
27.8 IPS |
|
|
Object Detection (SP)
|
100% |
3542
281.0 IPS |
|
|
Object Detection (HP)
|
100% |
3604
285.9 IPS |
|
|
Object Detection (Q)
|
92% |
2821
225.2 IPS |
|
|
Face Detection (SP)
|
100% |
9801
116.5 IPS |
|
|
Face Detection (HP)
|
100% |
11317
134.5 IPS |
|
|
Face Detection (Q)
|
100% |
7782
92.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
16620
128.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
17835
137.4 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
108.2 IPS |
|
|
Style Transfer (SP)
|
100% |
42210
54.3 IPS |
|
|
Style Transfer (HP)
|
100% |
48301
62.1 IPS |
|
|
Style Transfer (Q)
|
96% |
45022
58.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9529
351.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10133
374.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8021
296.2 IPS |
|
|
Text Classification (SP)
|
100% |
1046
1.40 KIPS |
|
|
Text Classification (HP)
|
100% |
743
992.4 IPS |
|
|
Text Classification (Q)
|
93% |
739
991.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1011
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1027
17.7 IPS |
|
|
Machine Translation (Q)
|
98% |
979
16.9 IPS |
