MacBook Air (2022)
Geekbench AI Score
3244
Single Precision Score
22895
Half Precision Score
25261
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | franky2000 |
| Upload Date | September 20 2024 05:31 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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 | 2.70 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
919
170.9 IPS |
|
|
Image Classification (HP)
|
100% |
13821
2.57 KIPS |
|
|
Image Classification (Q)
|
96% |
15478
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1547
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9969
161.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
11189
181.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6878
8.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
106386
124.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
104366
122.3 IPS |
|
|
Object Detection (SP)
|
100% |
1544
122.5 IPS |
|
|
Object Detection (HP)
|
99% |
15256
1.21 KIPS |
|
|
Object Detection (Q)
|
91% |
17381
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
3073
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
33456
397.5 IPS |
|
|
Face Detection (Q)
|
100% |
40631
482.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5637
43.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
85990
662.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
107200
837.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18704
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
195268
251.0 IPS |
|
|
Style Transfer (Q)
|
96% |
186441
240.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3883
143.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33443
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44401
1.64 KIPS |
|
|
Text Classification (SP)
|
100% |
1991
2.66 KIPS |
|
|
Text Classification (HP)
|
100% |
3709
4.95 KIPS |
|
|
Text Classification (Q)
|
93% |
3707
4.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3422
58.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2540
43.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2520
43.5 IPS |
