MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3053
Single Precision Score
14848
Half Precision Score
14477
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | imaginarybeing |
| Upload Date | October 04 2025 11:00 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5042k) |
| 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 | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1284
238.8 IPS |
|
|
Image Classification (HP)
|
100% |
6255
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
5895
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1296
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8871
143.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
9097
147.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5996
7.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
67428
78.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
64439
75.5 IPS |
|
|
Object Detection (SP)
|
100% |
1380
109.4 IPS |
|
|
Object Detection (HP)
|
99% |
6998
556.7 IPS |
|
|
Object Detection (Q)
|
91% |
6429
513.7 IPS |
|
|
Face Detection (SP)
|
100% |
2905
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
13395
159.2 IPS |
|
|
Face Detection (Q)
|
100% |
12759
151.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5469
42.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
46199
355.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
46568
363.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16390
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
121610
156.3 IPS |
|
|
Style Transfer (Q)
|
96% |
113350
146.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3426
126.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24069
888.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24166
892.3 IPS |
|
|
Text Classification (SP)
|
100% |
2332
3.11 KIPS |
|
|
Text Classification (HP)
|
99% |
4054
5.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4021
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2460
42.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2710
46.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2783
48.1 IPS |
