MacBook Air (2022)
Geekbench AI Score
5081
Single Precision Score
5401
Half Precision Score
1846
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | rennsport |
| Upload Date | April 06 2025 02:20 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3153
586.3 IPS |
|
|
Image Classification (HP)
|
100% |
3022
561.9 IPS |
|
|
Image Classification (Q)
|
97% |
2295
428.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3499
56.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4119
66.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3991
64.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
19289
22.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
20945
24.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
19156
22.4 IPS |
|
|
Object Detection (SP)
|
100% |
3106
246.4 IPS |
|
|
Object Detection (HP)
|
100% |
3027
240.1 IPS |
|
|
Object Detection (Q)
|
92% |
2453
195.8 IPS |
|
|
Face Detection (SP)
|
100% |
8603
102.2 IPS |
|
|
Face Detection (HP)
|
100% |
9736
115.7 IPS |
|
|
Face Detection (Q)
|
100% |
6643
78.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13371
103.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
14328
110.4 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
88.2 IPS |
|
|
Style Transfer (SP)
|
100% |
35572
45.7 IPS |
|
|
Style Transfer (HP)
|
100% |
39692
51.0 IPS |
|
|
Style Transfer (Q)
|
96% |
36532
47.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7559
279.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8217
303.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6245
230.6 IPS |
|
|
Text Classification (SP)
|
100% |
585
780.4 IPS |
|
|
Text Classification (HP)
|
100% |
604
806.7 IPS |
|
|
Text Classification (Q)
|
93% |
602
808.0 IPS |
|
|
Machine Translation (SP)
|
100% |
960
16.5 IPS |
|
|
Machine Translation (HP)
|
100% |
974
16.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1176
20.3 IPS |
