MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3037
Single Precision Score
14641
Half Precision Score
14519
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Serpadu |
| Upload Date | September 11 2025 03:20 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1332
247.8 IPS |
|
|
Image Classification (HP)
|
100% |
5951
1.11 KIPS |
|
|
Image Classification (Q)
|
96% |
5740
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1276
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8959
145.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9370
151.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6109
7.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
59828
69.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
58286
68.3 IPS |
|
|
Object Detection (SP)
|
100% |
1451
115.1 IPS |
|
|
Object Detection (HP)
|
99% |
6677
531.1 IPS |
|
|
Object Detection (Q)
|
91% |
6258
500.1 IPS |
|
|
Face Detection (SP)
|
100% |
2858
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
15628
185.7 IPS |
|
|
Face Detection (Q)
|
100% |
14630
173.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5342
41.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
43665
336.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
46078
360.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15928
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
108129
139.0 IPS |
|
|
Style Transfer (Q)
|
96% |
103377
133.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3452
127.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21906
808.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22408
827.4 IPS |
|
|
Text Classification (SP)
|
100% |
2225
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3861
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3875
5.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2377
40.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3407
58.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3507
60.6 IPS |
