MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3123
Single Precision Score
5180
Half Precision Score
4632
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | January 23 2025 12:18 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 3.09 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1221
227.0 IPS |
|
|
Image Classification (HP)
|
100% |
2103
391.1 IPS |
|
|
Image Classification (Q)
|
99% |
2163
403.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1415
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2113
34.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
2223
36.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6506
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
13894
16.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
11850
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1457
115.6 IPS |
|
|
Object Detection (HP)
|
97% |
2415
192.3 IPS |
|
|
Object Detection (Q)
|
94% |
1786
142.3 IPS |
|
|
Face Detection (SP)
|
100% |
2700
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
5073
60.3 IPS |
|
|
Face Detection (Q)
|
100% |
3138
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5784
44.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10884
84.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
11041
85.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16741
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26474
34.0 IPS |
|
|
Style Transfer (Q)
|
100% |
26581
34.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3723
137.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4453
164.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3354
124.3 IPS |
|
|
Text Classification (SP)
|
100% |
2318
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3944
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3957
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
2393
41.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3634
62.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3663
63.3 IPS |
