MacBook Air (2022)
Geekbench AI Score
5646
Single Precision Score
6320
Half Precision Score
5476
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | dimgod728 |
| Upload Date | February 22 2025 08:25 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3324
618.1 IPS |
|
|
Image Classification (HP)
|
100% |
3208
596.5 IPS |
|
|
Image Classification (Q)
|
97% |
2656
495.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3657
59.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4263
69.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4268
69.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
18993
22.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
21286
24.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
19911
23.3 IPS |
|
|
Object Detection (SP)
|
100% |
3139
249.0 IPS |
|
|
Object Detection (HP)
|
100% |
3279
260.1 IPS |
|
|
Object Detection (Q)
|
91% |
2683
214.4 IPS |
|
|
Face Detection (SP)
|
100% |
9378
111.4 IPS |
|
|
Face Detection (HP)
|
100% |
10354
123.0 IPS |
|
|
Face Detection (Q)
|
100% |
7058
83.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13696
105.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
14566
112.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
11407
89.2 IPS |
|
|
Style Transfer (SP)
|
100% |
35387
45.5 IPS |
|
|
Style Transfer (HP)
|
100% |
40228
51.7 IPS |
|
|
Style Transfer (Q)
|
96% |
37518
48.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7844
289.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8307
306.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6544
241.6 IPS |
|
|
Text Classification (SP)
|
100% |
2230
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3730
4.98 KIPS |
|
|
Text Classification (Q)
|
93% |
3719
4.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
572
9.86 IPS |
|
|
Machine Translation (HP)
|
100% |
567
9.76 IPS |
|
|
Machine Translation (Q)
|
98% |
545
9.42 IPS |
