MacBook Air (2022)
Geekbench AI Score
3433
Single Precision Score
23100
Half Precision Score
25202
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | andriyfedorov |
| Upload Date | October 08 2024 04:07 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1369
254.5 IPS |
|
|
Image Classification (HP)
|
100% |
14468
2.69 KIPS |
|
|
Image Classification (Q)
|
96% |
15224
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1515
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9791
158.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
11062
179.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6849
7.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
105357
122.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
104197
122.1 IPS |
|
|
Object Detection (SP)
|
100% |
1543
122.4 IPS |
|
|
Object Detection (HP)
|
99% |
15162
1.21 KIPS |
|
|
Object Detection (Q)
|
91% |
17160
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3117
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
32443
385.5 IPS |
|
|
Face Detection (Q)
|
100% |
42022
499.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5642
43.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
84913
654.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
105357
823.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18580
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
200578
257.8 IPS |
|
|
Style Transfer (Q)
|
96% |
188987
243.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4061
150.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39222
1.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46955
1.73 KIPS |
|
|
Text Classification (SP)
|
100% |
2208
2.95 KIPS |
|
|
Text Classification (HP)
|
100% |
3733
4.98 KIPS |
|
|
Text Classification (Q)
|
93% |
3719
4.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3542
61.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2364
40.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2350
40.6 IPS |
