MacBook Air (Late 2020)
Geekbench AI Score
1907
Single Precision Score
2799
Half Precision Score
2314
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | gumieAGT |
| Upload Date | August 19 2024 02:52 AM |
| Views | 8 |
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 | 1.95 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
847
157.4 IPS |
|
|
Image Classification (HP)
|
100% |
1056
196.4 IPS |
|
|
Image Classification (Q)
|
99% |
1060
197.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
808
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
752
12.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
752
12.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3850
4.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
8902
10.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
7544
8.84 IPS |
|
|
Object Detection (SP)
|
100% |
928
73.6 IPS |
|
|
Object Detection (HP)
|
97% |
1256
100.0 IPS |
|
|
Object Detection (Q)
|
94% |
964
76.8 IPS |
|
|
Face Detection (SP)
|
100% |
1742
20.7 IPS |
|
|
Face Detection (HP)
|
100% |
2629
31.2 IPS |
|
|
Face Detection (Q)
|
100% |
1675
19.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3448
26.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
5265
40.7 IPS |
|
|
Depth Estimation (Q)
|
96% |
2556
19.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10472
13.5 IPS |
|
|
Style Transfer (HP)
|
100% |
16152
20.8 IPS |
|
|
Style Transfer (Q)
|
100% |
16056
20.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2281
84.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2891
106.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2173
80.5 IPS |
|
|
Text Classification (SP)
|
100% |
1527
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
2452
3.27 KIPS |
|
|
Text Classification (Q)
|
93% |
2429
3.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1193
20.5 IPS |
|
|
Machine Translation (HP)
|
98% |
2102
36.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2099
36.3 IPS |
