MacBook Air (Late 2020)
Geekbench AI Score
2202
Single Precision Score
12451
Half Precision Score
12240
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | chrisbench01 |
| Upload Date | December 13 2024 05:58 PM |
| Views | 12 |
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% |
944
175.6 IPS |
|
|
Image Classification (HP)
|
100% |
5086
945.8 IPS |
|
|
Image Classification (Q)
|
96% |
4743
885.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
953
15.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7659
124.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7956
129.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4291
5.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
48884
57.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
46784
54.8 IPS |
|
|
Object Detection (SP)
|
100% |
1029
81.7 IPS |
|
|
Object Detection (HP)
|
99% |
5380
427.9 IPS |
|
|
Object Detection (Q)
|
91% |
5044
403.0 IPS |
|
|
Face Detection (SP)
|
100% |
2190
26.0 IPS |
|
|
Face Detection (HP)
|
100% |
11764
139.8 IPS |
|
|
Face Detection (Q)
|
100% |
11599
137.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3857
29.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
36933
284.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
36973
288.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11373
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
92238
118.6 IPS |
|
|
Style Transfer (Q)
|
96% |
88273
113.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2573
95.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18457
681.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18599
686.8 IPS |
|
|
Text Classification (SP)
|
100% |
1557
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
2668
3.56 KIPS |
|
|
Text Classification (Q)
|
93% |
2631
3.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1760
30.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4430
76.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4577
79.1 IPS |
