MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3143
Single Precision Score
14868
Half Precision Score
14515
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | July 19 2025 03:53 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5306g) |
| 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% |
1393
259.1 IPS |
|
|
Image Classification (HP)
|
100% |
6231
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
5788
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1350
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8656
140.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
8943
145.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6417
7.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
68551
80.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
65335
76.6 IPS |
|
|
Object Detection (SP)
|
100% |
1502
119.1 IPS |
|
|
Object Detection (HP)
|
99% |
7037
559.8 IPS |
|
|
Object Detection (Q)
|
91% |
6569
524.9 IPS |
|
|
Face Detection (SP)
|
100% |
2901
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
13856
164.6 IPS |
|
|
Face Detection (Q)
|
100% |
13021
154.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5599
43.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
46572
358.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
47088
368.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14962
19.2 IPS |
|
|
Style Transfer (HP)
|
100% |
121114
155.7 IPS |
|
|
Style Transfer (Q)
|
96% |
116245
150.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3697
136.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23855
880.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24013
886.7 IPS |
|
|
Text Classification (SP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (HP)
|
99% |
3975
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3947
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2526
43.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2738
47.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2767
47.8 IPS |
