MacBook Pro (13-inch Late 2020)
Geekbench AI Score
5002
Single Precision Score
5801
Half Precision Score
5139
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | roomac |
| Upload Date | March 21 2025 05:10 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
2415
449.1 IPS |
|
|
Image Classification (HP)
|
100% |
2432
452.3 IPS |
|
|
Image Classification (Q)
|
97% |
2228
415.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2700
43.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3650
59.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3697
59.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
17025
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18929
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
17356
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
2711
215.0 IPS |
|
|
Object Detection (HP)
|
100% |
2722
215.9 IPS |
|
|
Object Detection (Q)
|
91% |
2246
179.5 IPS |
|
|
Face Detection (SP)
|
100% |
6811
80.9 IPS |
|
|
Face Detection (HP)
|
100% |
8153
96.9 IPS |
|
|
Face Detection (Q)
|
100% |
5658
67.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12239
94.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
13662
105.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
11307
88.4 IPS |
|
|
Style Transfer (SP)
|
100% |
29111
37.4 IPS |
|
|
Style Transfer (HP)
|
100% |
34868
44.8 IPS |
|
|
Style Transfer (Q)
|
96% |
33064
42.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7094
262.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7286
269.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5876
217.0 IPS |
|
|
Text Classification (SP)
|
100% |
2309
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4029
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
3970
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
821
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
829
14.3 IPS |
|
|
Machine Translation (Q)
|
98% |
812
14.0 IPS |
