MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3202
Single Precision Score
15990
Half Precision Score
15719
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | daromeer |
| Upload Date | May 07 2025 09:21 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
1407
261.7 IPS |
|
|
Image Classification (HP)
|
100% |
6341
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
5988
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1353
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9693
157.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10025
162.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6481
7.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
68851
80.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
66539
78.0 IPS |
|
|
Object Detection (SP)
|
100% |
1508
119.6 IPS |
|
|
Object Detection (HP)
|
99% |
7238
575.8 IPS |
|
|
Object Detection (Q)
|
91% |
6924
553.3 IPS |
|
|
Face Detection (SP)
|
100% |
2990
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
16849
200.2 IPS |
|
|
Face Detection (Q)
|
100% |
15449
183.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5675
43.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
49276
379.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
49630
387.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17003
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
122265
157.2 IPS |
|
|
Style Transfer (Q)
|
96% |
115783
149.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3662
135.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23741
876.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24601
908.4 IPS |
|
|
Text Classification (SP)
|
100% |
2312
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4041
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4019
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
2496
43.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3664
63.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3794
65.6 IPS |
