MacBook Air (Late 2020)
Geekbench AI Score
2834
Single Precision Score
4283
Half Precision Score
3700
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | gethen |
| Upload Date | December 30 2024 03:16 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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 | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1302
242.1 IPS |
|
|
Image Classification (HP)
|
100% |
1668
310.2 IPS |
|
|
Image Classification (Q)
|
96% |
1272
237.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1161
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1153
18.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1645
26.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5759
6.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
13528
15.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11674
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1393
110.5 IPS |
|
|
Object Detection (HP)
|
97% |
1939
154.4 IPS |
|
|
Object Detection (Q)
|
94% |
1513
120.6 IPS |
|
|
Face Detection (SP)
|
100% |
2394
28.5 IPS |
|
|
Face Detection (HP)
|
100% |
4028
47.9 IPS |
|
|
Face Detection (Q)
|
100% |
2623
31.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5212
40.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
8133
62.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
6137
47.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15584
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
24655
31.7 IPS |
|
|
Style Transfer (Q)
|
96% |
20799
26.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3365
124.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4476
165.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3424
126.4 IPS |
|
|
Text Classification (SP)
|
100% |
2305
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3723
4.97 KIPS |
|
|
Text Classification (Q)
|
93% |
3686
4.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
1828
31.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3060
52.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3082
53.3 IPS |
