MacBook Air (Late 2020)
Geekbench AI Score
245
Single Precision Score
3633
Half Precision Score
2933
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | October 31 2024 09:12 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.7.1 (Build 23H222) |
| Model | MacBook Air (Late 2020) |
| Model ID | MacBookAir10,1 |
| Motherboard | MacBookAir10,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 |
| Base Frequency | 1.53 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
149
27.7 IPS |
|
|
Image Classification (HP)
|
100% |
2228
414.3 IPS |
|
|
Image Classification (Q)
|
96% |
2002
373.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
89
1.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
1346
21.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
120
1.94 IPS |
|
|
Pose Estimation (SP)
|
100% |
539
0.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
18492
21.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
18950
22.2 IPS |
|
|
Object Detection (SP)
|
100% |
170
13.5 IPS |
|
|
Object Detection (HP)
|
99% |
1890
150.4 IPS |
|
|
Object Detection (Q)
|
93% |
2284
182.2 IPS |
|
|
Face Detection (SP)
|
100% |
275
3.26 IPS |
|
|
Face Detection (HP)
|
100% |
4719
56.1 IPS |
|
|
Face Detection (Q)
|
100% |
4318
51.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
489
3.77 IPS |
|
|
Depth Estimation (HP)
|
99% |
14979
115.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
16066
125.5 IPS |
|
|
Style Transfer (SP)
|
100% |
1327
1.71 IPS |
|
|
Style Transfer (HP)
|
100% |
37503
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
35186
45.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
299
11.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5170
190.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5740
211.9 IPS |
|
|
Text Classification (SP)
|
100% |
57
76.0 IPS |
|
|
Text Classification (HP)
|
100% |
754
1.01 KIPS |
|
|
Text Classification (Q)
|
93% |
755
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
214
3.69 IPS |
|
|
Machine Translation (HP)
|
100% |
370
6.37 IPS |
|
|
Machine Translation (Q)
|
98% |
429
7.41 IPS |
