MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3237
Single Precision Score
5325
Half Precision Score
4405
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | lafcadio |
| Upload Date | December 04 2024 04:16 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| Model | MacBook Pro (13-inch Late 2020) |
| Model ID | MacBookPro17,1 |
| Motherboard | MacBookPro17,1 |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1375
255.8 IPS |
|
|
Image Classification (HP)
|
100% |
2169
403.4 IPS |
|
|
Image Classification (Q)
|
96% |
1555
290.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1389
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2242
36.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2589
42.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6513
7.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
13884
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12032
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1507
119.5 IPS |
|
|
Object Detection (HP)
|
97% |
2428
193.3 IPS |
|
|
Object Detection (Q)
|
94% |
1792
142.8 IPS |
|
|
Face Detection (SP)
|
100% |
3007
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
5473
65.0 IPS |
|
|
Face Detection (Q)
|
100% |
3208
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5837
45.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11090
85.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7688
60.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17038
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
26328
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21953
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3790
139.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4620
170.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3380
124.8 IPS |
|
|
Text Classification (SP)
|
100% |
2323
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
4049
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4056
5.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
2562
44.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3745
64.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4274
73.9 IPS |
