MacBook Air (Late 2020)
Geekbench AI Score
3230
Single Precision Score
15463
Half Precision Score
15162
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | December 30 2024 06:20 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
1393
259.0 IPS |
|
|
Image Classification (HP)
|
100% |
6058
1.13 KIPS |
|
|
Image Classification (Q)
|
96% |
5741
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1387
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9560
155.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9913
160.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6544
7.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
68628
80.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
65519
76.8 IPS |
|
|
Object Detection (SP)
|
100% |
1521
120.7 IPS |
|
|
Object Detection (HP)
|
99% |
7031
559.3 IPS |
|
|
Object Detection (Q)
|
91% |
6468
516.9 IPS |
|
|
Face Detection (SP)
|
100% |
3050
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
15661
186.1 IPS |
|
|
Face Detection (Q)
|
100% |
14392
171.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5823
44.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
47271
364.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
49058
383.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16771
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
121041
155.6 IPS |
|
|
Style Transfer (Q)
|
96% |
114899
148.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3737
138.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23823
879.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24514
905.2 IPS |
|
|
Text Classification (SP)
|
100% |
2306
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4069
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
3969
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2505
43.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3221
55.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3375
58.3 IPS |
