MacBook Air (2022)
Geekbench AI Score
5665
Single Precision Score
6298
Half Precision Score
4879
Quantized Score
Geekbench AI 1.0.0 Pro for macOS AArch64
Result Information
| User | Swissnightlover |
| Upload Date | August 19 2024 05:03 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| 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% |
3269
607.9 IPS |
|
|
Image Classification (HP)
|
100% |
3232
601.1 IPS |
|
|
Image Classification (Q)
|
99% |
2840
529.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3548
57.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4258
69.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
4137
67.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
19699
23.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
21345
24.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
19283
22.6 IPS |
|
|
Object Detection (SP)
|
100% |
2960
234.8 IPS |
|
|
Object Detection (HP)
|
100% |
3002
238.1 IPS |
|
|
Object Detection (Q)
|
91% |
2513
200.8 IPS |
|
|
Face Detection (SP)
|
100% |
9344
111.0 IPS |
|
|
Face Detection (HP)
|
100% |
10269
122.0 IPS |
|
|
Face Detection (Q)
|
100% |
6985
83.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13681
105.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
14668
113.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
2273
17.6 IPS |
|
|
Style Transfer (SP)
|
100% |
36217
46.6 IPS |
|
|
Style Transfer (HP)
|
100% |
40231
51.7 IPS |
|
|
Style Transfer (Q)
|
100% |
39943
51.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7832
289.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8284
305.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5927
219.6 IPS |
|
|
Text Classification (SP)
|
100% |
2217
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3631
4.85 KIPS |
|
|
Text Classification (Q)
|
93% |
3620
4.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
627
10.8 IPS |
|
|
Machine Translation (HP)
|
100% |
611
10.5 IPS |
|
|
Machine Translation (Q)
|
98% |
988
17.1 IPS |
