MacBook Pro (13-inch Late 2020)
Geekbench AI Score
4996
Single Precision Score
5817
Half Precision Score
5152
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 25 2024 06:26 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
2479
461.0 IPS |
|
|
Image Classification (HP)
|
100% |
2499
464.8 IPS |
|
|
Image Classification (Q)
|
97% |
2181
407.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2753
44.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3669
59.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3720
60.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16973
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18601
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
17407
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
2724
216.1 IPS |
|
|
Object Detection (HP)
|
100% |
2716
215.4 IPS |
|
|
Object Detection (Q)
|
91% |
2268
181.2 IPS |
|
|
Face Detection (SP)
|
100% |
6654
79.1 IPS |
|
|
Face Detection (HP)
|
100% |
8274
98.3 IPS |
|
|
Face Detection (Q)
|
100% |
5938
70.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12416
95.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
13572
104.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
11540
90.2 IPS |
|
|
Style Transfer (SP)
|
100% |
28886
37.1 IPS |
|
|
Style Transfer (HP)
|
100% |
34816
44.8 IPS |
|
|
Style Transfer (Q)
|
96% |
32923
42.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6495
239.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7345
271.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5471
202.0 IPS |
|
|
Text Classification (SP)
|
100% |
2312
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3990
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3951
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
857
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
836
14.4 IPS |
|
|
Machine Translation (Q)
|
98% |
845
14.6 IPS |
