MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3182
Single Precision Score
15851
Half Precision Score
15500
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 10 2025 02:11 AM |
| Views | 5 |
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 | 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% |
1415
263.2 IPS |
|
|
Image Classification (HP)
|
100% |
6243
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
5924
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1338
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9735
157.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10065
163.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6337
7.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
68802
80.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
65776
77.1 IPS |
|
|
Object Detection (SP)
|
100% |
1506
119.5 IPS |
|
|
Object Detection (HP)
|
99% |
7236
575.6 IPS |
|
|
Object Detection (Q)
|
91% |
6735
538.1 IPS |
|
|
Face Detection (SP)
|
100% |
2986
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
16932
201.2 IPS |
|
|
Face Detection (Q)
|
100% |
15292
181.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5701
43.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
48492
373.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
48853
381.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16996
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
121993
156.8 IPS |
|
|
Style Transfer (Q)
|
96% |
115272
148.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3616
133.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23433
865.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24119
890.6 IPS |
|
|
Text Classification (SP)
|
100% |
2255
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3897
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3924
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2504
43.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3620
62.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3719
64.3 IPS |
