MacBook Air (2022)
Geekbench AI Score
3443
Single Precision Score
27652
Half Precision Score
30730
Quantized Score
Geekbench AI 1.1.0 Pro for macOS AArch64
Result Information
| User | warumono |
| Upload Date | November 17 2024 05:55 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1379
256.5 IPS |
|
|
Image Classification (HP)
|
100% |
14774
2.75 KIPS |
|
|
Image Classification (Q)
|
96% |
15411
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1544
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19455
315.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24158
391.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6863
8.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
102994
120.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
105447
123.6 IPS |
|
|
Object Detection (SP)
|
100% |
1550
123.0 IPS |
|
|
Object Detection (HP)
|
99% |
15434
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
17357
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
3054
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
33334
396.1 IPS |
|
|
Face Detection (Q)
|
100% |
43095
512.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5641
43.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
86827
668.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
106627
833.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18653
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
203448
261.5 IPS |
|
|
Style Transfer (Q)
|
96% |
189515
244.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4056
149.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39735
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48184
1.78 KIPS |
|
|
Text Classification (SP)
|
100% |
2252
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3789
5.06 KIPS |
|
|
Text Classification (Q)
|
93% |
3735
5.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3523
60.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6454
111.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7033
121.5 IPS |
