MacBook Pro (13-inch Late 2020)
Geekbench AI Score
2711
Single Precision Score
4085
Half Precision Score
3556
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | bytespider |
| Upload Date | December 17 2025 09:33 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.8.1 (Build 23J30) |
| 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 | 3.12 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1238
230.2 IPS |
|
|
Image Classification (HP)
|
100% |
1593
296.2 IPS |
|
|
Image Classification (Q)
|
96% |
1213
226.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1104
17.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1112
18.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1611
26.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5439
6.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
12578
14.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
10933
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
1334
105.8 IPS |
|
|
Object Detection (HP)
|
97% |
1857
147.9 IPS |
|
|
Object Detection (Q)
|
94% |
1457
116.1 IPS |
|
|
Face Detection (SP)
|
100% |
2306
27.4 IPS |
|
|
Face Detection (HP)
|
100% |
3862
45.9 IPS |
|
|
Face Detection (Q)
|
100% |
2548
30.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4953
38.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
7798
60.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
5894
46.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14698
18.9 IPS |
|
|
Style Transfer (HP)
|
100% |
23194
29.8 IPS |
|
|
Style Transfer (Q)
|
96% |
19663
25.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3137
115.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4040
149.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3187
117.7 IPS |
|
|
Text Classification (SP)
|
100% |
2291
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3664
4.89 KIPS |
|
|
Text Classification (Q)
|
93% |
3634
4.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1794
30.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3029
52.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3038
52.5 IPS |
