MacBook Air (2022)
Geekbench AI Score
5950
Single Precision Score
6626
Half Precision Score
5840
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | gundamf90 |
| Upload Date | August 18 2024 01:39 PM |
| Views | 4 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3506
652.0 IPS |
|
|
Image Classification (HP)
|
100% |
3520
654.5 IPS |
|
|
Image Classification (Q)
|
99% |
3133
584.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3932
63.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4886
79.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
4759
77.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
24486
28.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
26119
30.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
23531
27.6 IPS |
|
|
Object Detection (SP)
|
100% |
3534
280.4 IPS |
|
|
Object Detection (HP)
|
100% |
3618
287.0 IPS |
|
|
Object Detection (Q)
|
92% |
2809
224.2 IPS |
|
|
Face Detection (SP)
|
100% |
9735
115.7 IPS |
|
|
Face Detection (HP)
|
100% |
11410
135.6 IPS |
|
|
Face Detection (Q)
|
100% |
7547
89.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
16546
127.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
17748
136.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
17567
135.8 IPS |
|
|
Style Transfer (SP)
|
100% |
42050
54.1 IPS |
|
|
Style Transfer (HP)
|
100% |
48178
61.9 IPS |
|
|
Style Transfer (Q)
|
100% |
47942
61.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9487
350.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10123
373.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7662
283.9 IPS |
|
|
Text Classification (SP)
|
100% |
388
517.7 IPS |
|
|
Text Classification (HP)
|
100% |
532
709.9 IPS |
|
|
Text Classification (Q)
|
93% |
529
710.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1870
32.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1913
32.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1819
31.4 IPS |
