MacBook Air (2022)
Geekbench AI Score
3223
Single Precision Score
4808
Half Precision Score
3946
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | leofmartins |
| Upload Date | August 16 2024 09:56 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
1512
281.2 IPS |
|
|
Image Classification (HP)
|
100% |
1930
359.0 IPS |
|
|
Image Classification (Q)
|
99% |
1912
356.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1314
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1312
21.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
1304
21.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6117
7.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
14688
17.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
12338
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1583
125.5 IPS |
|
|
Object Detection (HP)
|
97% |
2276
181.2 IPS |
|
|
Object Detection (Q)
|
94% |
1736
138.3 IPS |
|
|
Face Detection (SP)
|
100% |
2862
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
4434
52.7 IPS |
|
|
Face Detection (Q)
|
100% |
2875
34.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5394
41.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8734
67.5 IPS |
|
|
Depth Estimation (Q)
|
96% |
4038
31.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17235
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
27032
34.7 IPS |
|
|
Style Transfer (Q)
|
100% |
27093
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3624
133.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4825
178.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3548
131.4 IPS |
|
|
Text Classification (SP)
|
100% |
2273
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3392
4.53 KIPS |
|
|
Text Classification (Q)
|
93% |
3367
4.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
2874
49.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4561
78.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4564
78.9 IPS |
