MacBook Air (2022)
Geekbench AI Score
5820
Single Precision Score
6312
Half Precision Score
5541
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | slava-zaxapov |
| Upload Date | March 23 2025 06:01 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3286
611.1 IPS |
|
|
Image Classification (HP)
|
100% |
3052
567.6 IPS |
|
|
Image Classification (Q)
|
97% |
2501
466.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3693
59.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4265
69.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4252
68.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
19876
23.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
21302
24.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
19901
23.3 IPS |
|
|
Object Detection (SP)
|
100% |
2904
230.4 IPS |
|
|
Object Detection (HP)
|
100% |
3175
251.8 IPS |
|
|
Object Detection (Q)
|
91% |
2636
210.7 IPS |
|
|
Face Detection (SP)
|
100% |
9383
111.5 IPS |
|
|
Face Detection (HP)
|
100% |
10265
122.0 IPS |
|
|
Face Detection (Q)
|
100% |
7206
85.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
14816
114.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
15811
121.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
13028
101.8 IPS |
|
|
Style Transfer (SP)
|
100% |
36191
46.5 IPS |
|
|
Style Transfer (HP)
|
100% |
40273
51.8 IPS |
|
|
Style Transfer (Q)
|
96% |
37634
48.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7818
288.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8232
304.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6490
239.6 IPS |
|
|
Text Classification (SP)
|
100% |
2247
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3813
5.09 KIPS |
|
|
Text Classification (Q)
|
93% |
3780
5.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
721
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
556
9.57 IPS |
|
|
Machine Translation (Q)
|
98% |
565
9.76 IPS |
