MacBook Pro (13-inch Late 2020)
Geekbench AI Score
5726
Single Precision Score
6677
Half Precision Score
6199
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Serpadu |
| Upload Date | September 11 2025 03:23 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 3.09 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2880
535.7 IPS |
|
|
Image Classification (HP)
|
100% |
2971
552.4 IPS |
|
|
Image Classification (Q)
|
96% |
2742
512.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4141
67.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4368
70.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4193
68.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
17286
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
19437
22.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
18885
22.1 IPS |
|
|
Object Detection (SP)
|
100% |
2862
227.0 IPS |
|
|
Object Detection (HP)
|
100% |
2967
235.3 IPS |
|
|
Object Detection (Q)
|
92% |
2675
213.5 IPS |
|
|
Face Detection (SP)
|
100% |
6998
83.2 IPS |
|
|
Face Detection (HP)
|
100% |
8791
104.5 IPS |
|
|
Face Detection (Q)
|
100% |
7306
86.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12665
97.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
14301
110.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
13027
101.8 IPS |
|
|
Style Transfer (SP)
|
100% |
29284
37.6 IPS |
|
|
Style Transfer (HP)
|
100% |
35686
45.9 IPS |
|
|
Style Transfer (Q)
|
96% |
35120
45.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7087
261.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8036
296.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6813
251.6 IPS |
|
|
Text Classification (SP)
|
100% |
2180
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
3923
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3853
5.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1602
27.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1665
28.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1645
28.4 IPS |
