MacBook Pro (13-inch Late 2020)
Geekbench AI Score
4443
Single Precision Score
4975
Half Precision Score
4696
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | July 18 2025 04:37 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5306g) |
| 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 | 1.95 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1922
357.5 IPS |
|
|
Image Classification (HP)
|
100% |
2088
388.2 IPS |
|
|
Image Classification (Q)
|
96% |
1871
349.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2751
44.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3335
54.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2920
47.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10165
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
12943
15.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
11813
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
2058
163.2 IPS |
|
|
Object Detection (HP)
|
100% |
1982
157.2 IPS |
|
|
Object Detection (Q)
|
92% |
1869
149.2 IPS |
|
|
Face Detection (SP)
|
100% |
6520
77.5 IPS |
|
|
Face Detection (HP)
|
100% |
6682
79.4 IPS |
|
|
Face Detection (Q)
|
100% |
4646
55.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11861
91.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9369
72.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
12281
95.9 IPS |
|
|
Style Transfer (SP)
|
100% |
23578
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
29433
37.8 IPS |
|
|
Style Transfer (Q)
|
96% |
32188
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6264
231.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7287
269.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5927
218.9 IPS |
|
|
Text Classification (SP)
|
100% |
1522
2.03 KIPS |
|
|
Text Classification (HP)
|
99% |
2543
3.39 KIPS |
|
|
Text Classification (Q)
|
93% |
2597
3.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1561
26.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1525
26.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1530
26.4 IPS |
