MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3201
Single Precision Score
5225
Half Precision Score
4606
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | eriksp |
| Upload Date | August 15 2024 05:10 PM |
| Views | 25 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5320a) |
| 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% |
1392
258.9 IPS |
|
|
Image Classification (HP)
|
100% |
2175
404.6 IPS |
|
|
Image Classification (Q)
|
99% |
2170
404.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1374
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2184
35.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
2166
35.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6513
7.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
13905
16.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
11886
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1512
119.9 IPS |
|
|
Object Detection (HP)
|
97% |
2418
192.5 IPS |
|
|
Object Detection (Q)
|
94% |
1789
142.6 IPS |
|
|
Face Detection (SP)
|
100% |
2998
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
5424
64.4 IPS |
|
|
Face Detection (Q)
|
100% |
3193
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5772
44.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11004
85.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
10990
85.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16731
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26094
33.5 IPS |
|
|
Style Transfer (Q)
|
100% |
26079
33.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3732
137.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4364
161.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3303
122.4 IPS |
|
|
Text Classification (SP)
|
100% |
2264
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3848
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
3816
5.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2458
42.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3631
62.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3729
64.4 IPS |
