MacBook Air (2022)
Geekbench AI Score
3465
Single Precision Score
26181
Half Precision Score
29042
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | yasin9300 |
| Upload Date | December 22 2024 09:53 AM |
| Views | 1 |
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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1388
258.1 IPS |
|
|
Image Classification (HP)
|
100% |
14474
2.69 KIPS |
|
|
Image Classification (Q)
|
96% |
15593
2.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1526
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19009
308.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
23576
382.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6870
8.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
102846
120.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
105630
123.8 IPS |
|
|
Object Detection (SP)
|
100% |
1548
122.8 IPS |
|
|
Object Detection (HP)
|
99% |
15338
1.22 KIPS |
|
|
Object Detection (Q)
|
91% |
17327
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3186
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
33470
397.7 IPS |
|
|
Face Detection (Q)
|
100% |
42639
506.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5758
44.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
86513
666.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
107403
839.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18687
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
202257
260.0 IPS |
|
|
Style Transfer (Q)
|
96% |
191019
246.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4092
151.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39662
1.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47219
1.74 KIPS |
|
|
Text Classification (SP)
|
100% |
2208
2.95 KIPS |
|
|
Text Classification (HP)
|
100% |
3743
5.00 KIPS |
|
|
Text Classification (Q)
|
93% |
3708
4.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3579
61.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4011
69.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4142
71.6 IPS |
