MacBook Pro (13-inch Late 2020)
Geekbench AI Score
4955
Single Precision Score
5933
Half Precision Score
4389
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | October 22 2024 05:55 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B82) |
| 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% |
2072
385.3 IPS |
|
|
Image Classification (HP)
|
100% |
2710
504.0 IPS |
|
|
Image Classification (Q)
|
99% |
1958
365.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2734
44.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3738
60.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
3743
60.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
17217
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18619
21.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
17182
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
2728
216.3 IPS |
|
|
Object Detection (HP)
|
100% |
2891
229.3 IPS |
|
|
Object Detection (Q)
|
91% |
2254
180.1 IPS |
|
|
Face Detection (SP)
|
100% |
7077
84.1 IPS |
|
|
Face Detection (HP)
|
100% |
8253
98.1 IPS |
|
|
Face Detection (Q)
|
100% |
5989
71.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12215
94.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
13648
105.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
2007
15.5 IPS |
|
|
Style Transfer (SP)
|
100% |
29206
37.5 IPS |
|
|
Style Transfer (HP)
|
100% |
34943
44.9 IPS |
|
|
Style Transfer (Q)
|
100% |
35580
45.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6531
241.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7771
286.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5305
196.5 IPS |
|
|
Text Classification (SP)
|
100% |
2366
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
3813
5.09 KIPS |
|
|
Text Classification (Q)
|
93% |
3994
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
860
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
851
14.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1033
17.9 IPS |
