MacBook Air (2022)
Geekbench AI Score
5743
Single Precision Score
6479
Half Precision Score
5825
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | JulioSanchezD |
| Upload Date | January 21 2025 03:02 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3370
626.7 IPS |
|
|
Image Classification (HP)
|
100% |
3337
620.5 IPS |
|
|
Image Classification (Q)
|
97% |
2679
499.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3681
59.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4267
69.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4280
69.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
19901
23.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
21302
24.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
19914
23.3 IPS |
|
|
Object Detection (SP)
|
100% |
3080
244.3 IPS |
|
|
Object Detection (HP)
|
100% |
3211
254.7 IPS |
|
|
Object Detection (Q)
|
91% |
2740
219.0 IPS |
|
|
Face Detection (SP)
|
100% |
9378
111.4 IPS |
|
|
Face Detection (HP)
|
100% |
10307
122.5 IPS |
|
|
Face Detection (Q)
|
100% |
7204
85.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13700
105.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
14557
112.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
12167
95.1 IPS |
|
|
Style Transfer (SP)
|
100% |
36159
46.5 IPS |
|
|
Style Transfer (HP)
|
100% |
40294
51.8 IPS |
|
|
Style Transfer (Q)
|
96% |
37895
48.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7885
291.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8821
325.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6522
240.8 IPS |
|
|
Text Classification (SP)
|
100% |
2259
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3739
4.99 KIPS |
|
|
Text Classification (Q)
|
93% |
3731
5.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
621
10.7 IPS |
|
|
Machine Translation (HP)
|
100% |
672
11.6 IPS |
|
|
Machine Translation (Q)
|
98% |
890
15.4 IPS |
