MacBook Pro (13-inch Late 2020)
Geekbench AI Score
2191
Single Precision Score
3511
Half Precision Score
2859
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | finnmund |
| Upload Date | February 11 2025 10:35 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
925
172.0 IPS |
|
|
Image Classification (HP)
|
100% |
1402
260.8 IPS |
|
|
Image Classification (Q)
|
96% |
985
184.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
939
15.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1475
23.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1663
27.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4282
5.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
9204
10.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
7867
9.22 IPS |
|
|
Object Detection (SP)
|
100% |
1013
80.3 IPS |
|
|
Object Detection (HP)
|
97% |
1601
127.5 IPS |
|
|
Object Detection (Q)
|
94% |
1154
92.0 IPS |
|
|
Face Detection (SP)
|
100% |
2189
26.0 IPS |
|
|
Face Detection (HP)
|
100% |
3629
43.1 IPS |
|
|
Face Detection (Q)
|
100% |
2065
24.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3792
29.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
7114
55.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
4817
37.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11364
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
16996
21.8 IPS |
|
|
Style Transfer (Q)
|
96% |
14135
18.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2550
94.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3002
110.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2189
80.8 IPS |
|
|
Text Classification (SP)
|
100% |
1551
2.07 KIPS |
|
|
Text Classification (HP)
|
100% |
2597
3.47 KIPS |
|
|
Text Classification (Q)
|
93% |
2619
3.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1821
31.4 IPS |
|
|
Machine Translation (HP)
|
98% |
2735
47.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3052
52.7 IPS |
