MacBook Air (M2, 2022) MacBook Air (2022)
Geekbench AI Score
3463
Single Precision Score
25969
Half Precision Score
28719
Quantized Score
Geekbench AI 1.2.0 Pro for macOS AArch64
Result Information
| User | blackowl |
| Upload Date | December 12 2024 09:41 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 3.44 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1389
258.3 IPS |
|
|
Image Classification (HP)
|
100% |
14542
2.70 KIPS |
|
|
Image Classification (Q)
|
96% |
15210
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1524
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18803
304.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23426
379.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6843
7.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
102628
119.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
104499
122.5 IPS |
|
|
Object Detection (SP)
|
100% |
1551
123.0 IPS |
|
|
Object Detection (HP)
|
99% |
15456
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
17218
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3155
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
32593
387.3 IPS |
|
|
Face Detection (Q)
|
100% |
40834
485.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5744
44.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
87145
671.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
106265
830.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18640
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
199976
257.1 IPS |
|
|
Style Transfer (Q)
|
96% |
190979
246.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4073
150.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38938
1.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47266
1.75 KIPS |
|
|
Text Classification (SP)
|
100% |
2245
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3732
4.98 KIPS |
|
|
Text Classification (Q)
|
93% |
3716
4.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3582
61.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3897
67.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4091
70.7 IPS |
