MacBook Pro (13-inch Late 2020)
Geekbench AI Score
1736
Single Precision Score
12434
Half Precision Score
9980
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | bytespider |
| Upload Date | December 17 2025 09:30 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
959
178.3 IPS |
|
|
Image Classification (HP)
|
100% |
6398
1.19 KIPS |
|
|
Image Classification (Q)
|
96% |
5739
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
644
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4254
69.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
484
7.84 IPS |
|
|
Pose Estimation (SP)
|
100% |
5685
6.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
67316
78.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
65602
76.9 IPS |
|
|
Object Detection (SP)
|
100% |
1051
83.3 IPS |
|
|
Object Detection (HP)
|
99% |
7181
571.2 IPS |
|
|
Object Detection (Q)
|
93% |
6538
521.7 IPS |
|
|
Face Detection (SP)
|
100% |
1668
19.8 IPS |
|
|
Face Detection (HP)
|
100% |
12194
144.9 IPS |
|
|
Face Detection (Q)
|
100% |
11803
140.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3101
23.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
44814
345.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
52073
406.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9705
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
118865
152.8 IPS |
|
|
Style Transfer (Q)
|
96% |
112455
145.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2457
90.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17951
662.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20725
765.3 IPS |
|
|
Text Classification (SP)
|
100% |
405
540.0 IPS |
|
|
Text Classification (HP)
|
100% |
2504
3.34 KIPS |
|
|
Text Classification (Q)
|
93% |
2521
3.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1351
23.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2300
39.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2279
39.4 IPS |
