MacBook Pro (13-inch Late 2020)
Geekbench AI Score
2172
Single Precision Score
11091
Half Precision Score
10780
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | July 18 2025 04:54 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
906
168.5 IPS |
|
|
Image Classification (HP)
|
100% |
4940
918.7 IPS |
|
|
Image Classification (Q)
|
96% |
4481
836.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
953
15.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7096
115.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7291
118.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4266
4.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
47605
55.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
45685
53.5 IPS |
|
|
Object Detection (SP)
|
100% |
1008
79.9 IPS |
|
|
Object Detection (HP)
|
99% |
5022
399.5 IPS |
|
|
Object Detection (Q)
|
91% |
4703
375.8 IPS |
|
|
Face Detection (SP)
|
100% |
2126
25.3 IPS |
|
|
Face Detection (HP)
|
100% |
10010
118.9 IPS |
|
|
Face Detection (Q)
|
100% |
9675
115.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3673
28.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
34693
267.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
34653
270.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11186
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
90480
116.3 IPS |
|
|
Style Transfer (Q)
|
96% |
86034
111.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2522
93.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18460
681.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18079
667.6 IPS |
|
|
Text Classification (SP)
|
100% |
1532
2.05 KIPS |
|
|
Text Classification (HP)
|
99% |
2576
3.44 KIPS |
|
|
Text Classification (Q)
|
93% |
2555
3.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1873
32.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2251
38.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2266
39.2 IPS |
