MacBook Pro (13-inch Late 2020)
Geekbench AI Score
5000
Single Precision Score
5732
Half Precision Score
4362
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | October 17 2024 07:40 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5077a) |
| 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 | 3.09 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2197
408.6 IPS |
|
|
Image Classification (HP)
|
100% |
2225
413.8 IPS |
|
|
Image Classification (Q)
|
99% |
1938
361.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2673
43.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3638
59.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
3707
60.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
17124
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18696
21.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
16994
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
2836
225.0 IPS |
|
|
Object Detection (HP)
|
100% |
2665
211.4 IPS |
|
|
Object Detection (Q)
|
91% |
2359
188.5 IPS |
|
|
Face Detection (SP)
|
100% |
6585
78.2 IPS |
|
|
Face Detection (HP)
|
100% |
8089
96.1 IPS |
|
|
Face Detection (Q)
|
100% |
6080
72.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12176
93.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
13686
105.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
1982
15.3 IPS |
|
|
Style Transfer (SP)
|
100% |
28984
37.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35019
45.0 IPS |
|
|
Style Transfer (Q)
|
100% |
36001
46.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7104
262.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7140
263.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5223
193.5 IPS |
|
|
Text Classification (SP)
|
100% |
2279
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3904
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3542
4.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
911
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
880
15.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1079
18.6 IPS |
