MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3206
Single Precision Score
5347
Half Precision Score
4421
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | gutermanjunior |
| Upload Date | June 08 2025 09:26 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
1411
262.4 IPS |
|
|
Image Classification (HP)
|
100% |
2202
409.4 IPS |
|
|
Image Classification (Q)
|
96% |
1573
293.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1356
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2109
34.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2535
41.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6484
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
14219
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12212
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1509
119.7 IPS |
|
|
Object Detection (HP)
|
97% |
2384
189.8 IPS |
|
|
Object Detection (Q)
|
94% |
1779
141.8 IPS |
|
|
Face Detection (SP)
|
100% |
2980
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
5345
63.5 IPS |
|
|
Face Detection (Q)
|
100% |
3147
37.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5675
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10446
80.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7397
57.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16963
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26911
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22428
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3698
136.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4447
164.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3496
129.1 IPS |
|
|
Text Classification (SP)
|
100% |
2306
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4028
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4007
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2505
43.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4514
78.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4508
77.9 IPS |
