MacBook Pro (13-inch Late 2020)
Geekbench AI Score
2162
Single Precision Score
11792
Half Precision Score
11506
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 10 2025 02:13 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5222f) |
| 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 | 1.95 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
925
172.0 IPS |
|
|
Image Classification (HP)
|
100% |
4952
921.0 IPS |
|
|
Image Classification (Q)
|
96% |
4522
844.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
959
15.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7557
122.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7904
128.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4147
4.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
48838
57.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
47097
55.2 IPS |
|
|
Object Detection (SP)
|
100% |
991
78.6 IPS |
|
|
Object Detection (HP)
|
99% |
5281
420.1 IPS |
|
|
Object Detection (Q)
|
91% |
5010
400.3 IPS |
|
|
Face Detection (SP)
|
100% |
2151
25.6 IPS |
|
|
Face Detection (HP)
|
100% |
11928
141.7 IPS |
|
|
Face Detection (Q)
|
100% |
11292
134.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3697
28.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
36443
280.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
36594
286.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11275
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
91891
118.1 IPS |
|
|
Style Transfer (Q)
|
96% |
87517
112.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2452
90.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18157
670.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18084
667.8 IPS |
|
|
Text Classification (SP)
|
100% |
1505
2.01 KIPS |
|
|
Text Classification (HP)
|
100% |
2618
3.49 KIPS |
|
|
Text Classification (Q)
|
93% |
2564
3.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1852
31.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2838
48.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2877
49.7 IPS |
