MacBook Air (2022)
Geekbench AI Score
5587
Single Precision Score
6119
Half Precision Score
5406
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | spotlite |
| Upload Date | December 05 2024 09:42 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5089c) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3232
601.1 IPS |
|
|
Image Classification (HP)
|
100% |
3123
580.8 IPS |
|
|
Image Classification (Q)
|
97% |
2543
474.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3705
60.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4251
68.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4273
69.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
19836
23.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
21266
24.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
19865
23.3 IPS |
|
|
Object Detection (SP)
|
100% |
3077
244.1 IPS |
|
|
Object Detection (HP)
|
100% |
2951
234.0 IPS |
|
|
Object Detection (Q)
|
91% |
2684
214.5 IPS |
|
|
Face Detection (SP)
|
100% |
9352
111.1 IPS |
|
|
Face Detection (HP)
|
100% |
10218
121.4 IPS |
|
|
Face Detection (Q)
|
100% |
7168
85.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13590
104.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
14313
110.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
12075
94.4 IPS |
|
|
Style Transfer (SP)
|
100% |
36125
46.4 IPS |
|
|
Style Transfer (HP)
|
100% |
40129
51.6 IPS |
|
|
Style Transfer (Q)
|
96% |
37529
48.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7730
285.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8130
300.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6442
237.9 IPS |
|
|
Text Classification (SP)
|
100% |
2165
2.89 KIPS |
|
|
Text Classification (HP)
|
100% |
3578
4.78 KIPS |
|
|
Text Classification (Q)
|
93% |
3570
4.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
528
9.09 IPS |
|
|
Machine Translation (HP)
|
100% |
518
8.92 IPS |
|
|
Machine Translation (Q)
|
98% |
493
8.51 IPS |
