MacBook Air (Late 2020)
Geekbench AI Score
460
Single Precision Score
5367
Half Precision Score
4193
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 04 2024 05:10 AM |
| Views | 2 |
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 | 1.24 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
246
45.8 IPS |
|
|
Image Classification (HP)
|
100% |
2855
530.9 IPS |
|
|
Image Classification (Q)
|
96% |
2503
467.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
121
1.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
1900
30.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
144
2.33 IPS |
|
|
Pose Estimation (SP)
|
100% |
1159
1.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
25134
29.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
25944
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
275
21.8 IPS |
|
|
Object Detection (HP)
|
99% |
2945
234.2 IPS |
|
|
Object Detection (Q)
|
93% |
2588
206.5 IPS |
|
|
Face Detection (SP)
|
100% |
542
6.44 IPS |
|
|
Face Detection (HP)
|
100% |
5226
62.1 IPS |
|
|
Face Detection (Q)
|
100% |
6208
73.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
945
7.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
18037
139.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
21280
166.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2746
3.53 IPS |
|
|
Style Transfer (HP)
|
100% |
53044
68.2 IPS |
|
|
Style Transfer (Q)
|
96% |
49231
63.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
702
25.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7770
286.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8831
326.1 IPS |
|
|
Text Classification (SP)
|
100% |
133
178.1 IPS |
|
|
Text Classification (HP)
|
100% |
1542
2.06 KIPS |
|
|
Text Classification (Q)
|
93% |
1660
2.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
344
5.92 IPS |
|
|
Machine Translation (HP)
|
100% |
825
14.2 IPS |
|
|
Machine Translation (Q)
|
98% |
729
12.6 IPS |
