MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3177
Single Precision Score
5136
Half Precision Score
4550
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | August 29 2024 04:13 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5035e) |
| 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 | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1400
260.3 IPS |
|
|
Image Classification (HP)
|
100% |
2162
402.1 IPS |
|
|
Image Classification (Q)
|
99% |
2100
391.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1371
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2167
35.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
2173
35.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6502
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
13753
16.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
11826
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1486
117.9 IPS |
|
|
Object Detection (HP)
|
97% |
2424
193.0 IPS |
|
|
Object Detection (Q)
|
94% |
1776
141.6 IPS |
|
|
Face Detection (SP)
|
100% |
2964
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
5058
60.1 IPS |
|
|
Face Detection (Q)
|
100% |
2966
35.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5453
42.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10204
78.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
10133
78.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16773
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
26127
33.6 IPS |
|
|
Style Transfer (Q)
|
100% |
26273
33.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3712
137.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4466
164.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3306
122.5 IPS |
|
|
Text Classification (SP)
|
100% |
2260
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3847
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3864
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2486
42.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3534
61.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3940
68.1 IPS |
