MacBook Air (Late 2020)
Geekbench AI Score
2782
Single Precision Score
4190
Half Precision Score
3524
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | pjcinmtns |
| Upload Date | August 20 2024 07:22 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
1183
220.0 IPS |
|
|
Image Classification (HP)
|
100% |
1694
315.0 IPS |
|
|
Image Classification (Q)
|
99% |
1689
315.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1160
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1162
18.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
1159
18.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5791
6.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
12891
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
11105
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1387
110.0 IPS |
|
|
Object Detection (HP)
|
97% |
1904
151.6 IPS |
|
|
Object Detection (Q)
|
94% |
1469
117.1 IPS |
|
|
Face Detection (SP)
|
100% |
2287
27.2 IPS |
|
|
Face Detection (HP)
|
100% |
3829
45.5 IPS |
|
|
Face Detection (Q)
|
100% |
2613
31.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5071
39.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
8126
62.8 IPS |
|
|
Depth Estimation (Q)
|
96% |
3868
29.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15398
19.8 IPS |
|
|
Style Transfer (HP)
|
100% |
24523
31.5 IPS |
|
|
Style Transfer (Q)
|
100% |
24554
31.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3365
124.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4517
166.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3325
123.2 IPS |
|
|
Text Classification (SP)
|
100% |
2278
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3675
4.91 KIPS |
|
|
Text Classification (Q)
|
93% |
3629
4.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1842
31.7 IPS |
|
|
Machine Translation (HP)
|
98% |
2729
47.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3093
53.4 IPS |
