MacBook Pro (13-inch Late 2020)
Geekbench AI Score
5408
Single Precision Score
6177
Half Precision Score
5783
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 10 2025 12:02 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5222f) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2217
412.3 IPS |
|
|
Image Classification (HP)
|
100% |
2225
413.9 IPS |
|
|
Image Classification (Q)
|
96% |
2024
377.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4029
65.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4243
68.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4061
65.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
16874
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18532
21.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
18038
21.1 IPS |
|
|
Object Detection (SP)
|
100% |
2685
213.0 IPS |
|
|
Object Detection (HP)
|
100% |
2666
211.5 IPS |
|
|
Object Detection (Q)
|
92% |
2475
197.6 IPS |
|
|
Face Detection (SP)
|
100% |
6774
80.5 IPS |
|
|
Face Detection (HP)
|
100% |
8321
98.9 IPS |
|
|
Face Detection (Q)
|
100% |
6982
83.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12067
93.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
13571
104.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
12542
98.1 IPS |
|
|
Style Transfer (SP)
|
100% |
28809
37.0 IPS |
|
|
Style Transfer (HP)
|
100% |
34587
44.5 IPS |
|
|
Style Transfer (Q)
|
96% |
33565
43.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6483
239.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7206
266.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6322
233.4 IPS |
|
|
Text Classification (SP)
|
100% |
2243
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3870
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
3833
5.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1546
26.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1594
27.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1603
27.7 IPS |
