MacBook Pro (13-inch Late 2020)
Geekbench AI Score
2880
Single Precision Score
4781
Half Precision Score
3981
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | iambjlu |
| Upload Date | November 06 2025 04:35 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| 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 | 3.06 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1268
235.7 IPS |
|
|
Image Classification (HP)
|
100% |
1929
358.7 IPS |
|
|
Image Classification (Q)
|
96% |
1420
265.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1201
19.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1937
31.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2352
38.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5678
6.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
12328
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
10792
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
1397
110.8 IPS |
|
|
Object Detection (HP)
|
97% |
2221
176.8 IPS |
|
|
Object Detection (Q)
|
94% |
1653
131.7 IPS |
|
|
Face Detection (SP)
|
100% |
2620
31.1 IPS |
|
|
Face Detection (HP)
|
100% |
4869
57.9 IPS |
|
|
Face Detection (Q)
|
100% |
2789
33.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5202
40.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10141
78.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7096
55.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14457
18.6 IPS |
|
|
Style Transfer (HP)
|
100% |
23481
30.2 IPS |
|
|
Style Transfer (Q)
|
96% |
19926
25.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3375
124.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4081
150.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3070
113.3 IPS |
|
|
Text Classification (SP)
|
100% |
2127
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
3634
4.85 KIPS |
|
|
Text Classification (Q)
|
93% |
3626
4.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
2299
39.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3548
61.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3825
66.1 IPS |
