MacBook Pro (13-inch Late 2020)
Geekbench AI Score
4796
Single Precision Score
5552
Half Precision Score
4371
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | November 21 2024 04:59 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5089c) |
| 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% |
2494
463.8 IPS |
|
|
Image Classification (HP)
|
100% |
2090
388.6 IPS |
|
|
Image Classification (Q)
|
99% |
2666
497.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2364
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3694
59.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
3711
60.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
16938
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18740
21.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
17204
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
2719
215.7 IPS |
|
|
Object Detection (HP)
|
100% |
2707
214.8 IPS |
|
|
Object Detection (Q)
|
91% |
2323
185.6 IPS |
|
|
Face Detection (SP)
|
100% |
6825
81.1 IPS |
|
|
Face Detection (HP)
|
100% |
8928
106.1 IPS |
|
|
Face Detection (Q)
|
100% |
5813
69.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
12366
95.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
13950
107.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
2025
15.7 IPS |
|
|
Style Transfer (SP)
|
100% |
29214
37.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34997
45.0 IPS |
|
|
Style Transfer (Q)
|
100% |
35902
46.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6436
237.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7295
269.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5509
204.1 IPS |
|
|
Text Classification (SP)
|
100% |
2111
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
3407
4.55 KIPS |
|
|
Text Classification (Q)
|
93% |
3869
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
708
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
657
11.3 IPS |
|
|
Machine Translation (Q)
|
98% |
715
12.4 IPS |
