MacBook Pro (13-inch Late 2020)
Geekbench AI Score
2161
Single Precision Score
11735
Half Precision Score
11504
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 10 2025 02:15 AM |
| Views | 9 |
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% |
921
171.4 IPS |
|
|
Image Classification (HP)
|
100% |
4941
918.9 IPS |
|
|
Image Classification (Q)
|
96% |
4482
836.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
953
15.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7446
120.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7913
128.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4160
4.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
48267
56.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
46972
55.1 IPS |
|
|
Object Detection (SP)
|
100% |
989
78.4 IPS |
|
|
Object Detection (HP)
|
99% |
5280
420.0 IPS |
|
|
Object Detection (Q)
|
91% |
5008
400.2 IPS |
|
|
Face Detection (SP)
|
100% |
2137
25.4 IPS |
|
|
Face Detection (HP)
|
100% |
11808
140.3 IPS |
|
|
Face Detection (Q)
|
100% |
11447
136.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3679
28.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
36454
280.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
36601
286.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11266
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
92091
118.4 IPS |
|
|
Style Transfer (Q)
|
96% |
87696
113.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2455
90.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18176
671.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18080
667.6 IPS |
|
|
Text Classification (SP)
|
100% |
1531
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
2575
3.44 KIPS |
|
|
Text Classification (Q)
|
93% |
2548
3.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1848
31.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2849
49.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2876
49.7 IPS |
