MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3110
Single Precision Score
5250
Half Precision Score
4625
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | November 07 2024 05:20 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5073e) |
| 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% |
1402
260.8 IPS |
|
|
Image Classification (HP)
|
100% |
2109
392.1 IPS |
|
|
Image Classification (Q)
|
99% |
2145
400.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1136
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2172
35.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
2245
36.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6507
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
13725
16.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
11720
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1511
119.9 IPS |
|
|
Object Detection (HP)
|
97% |
2352
187.2 IPS |
|
|
Object Detection (Q)
|
94% |
1782
142.0 IPS |
|
|
Face Detection (SP)
|
100% |
3020
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
5293
62.9 IPS |
|
|
Face Detection (Q)
|
100% |
3163
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5804
44.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11050
85.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
11039
85.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16695
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
25967
33.4 IPS |
|
|
Style Transfer (Q)
|
100% |
26455
34.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3737
138.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4595
169.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3365
124.7 IPS |
|
|
Text Classification (SP)
|
100% |
2055
2.74 KIPS |
|
|
Text Classification (HP)
|
100% |
3848
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
3865
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2409
41.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4007
69.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3709
64.1 IPS |
