MacBook Air (Late 2020)
Geekbench AI Score
2206
Single Precision Score
12342
Half Precision Score
12121
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | chrisbench01 |
| Upload Date | December 14 2024 06:50 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
931
173.1 IPS |
|
|
Image Classification (HP)
|
100% |
5051
939.3 IPS |
|
|
Image Classification (Q)
|
96% |
4706
878.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
995
16.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7628
123.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
8003
129.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4280
4.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
48509
56.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
46863
54.9 IPS |
|
|
Object Detection (SP)
|
100% |
1011
80.2 IPS |
|
|
Object Detection (HP)
|
99% |
5370
427.2 IPS |
|
|
Object Detection (Q)
|
91% |
5022
401.3 IPS |
|
|
Face Detection (SP)
|
100% |
2186
26.0 IPS |
|
|
Face Detection (HP)
|
100% |
11634
138.2 IPS |
|
|
Face Detection (Q)
|
100% |
10931
129.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3786
29.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
37078
285.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
37612
293.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11240
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
92122
118.4 IPS |
|
|
Style Transfer (Q)
|
96% |
87571
113.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2543
93.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18230
673.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18634
688.0 IPS |
|
|
Text Classification (SP)
|
100% |
1552
2.07 KIPS |
|
|
Text Classification (HP)
|
100% |
2636
3.52 KIPS |
|
|
Text Classification (Q)
|
93% |
2633
3.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1857
32.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4281
73.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4372
75.5 IPS |
