MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3214
Single Precision Score
5305
Half Precision Score
4397
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 25 2024 06:21 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1395
259.4 IPS |
|
|
Image Classification (HP)
|
100% |
2184
406.2 IPS |
|
|
Image Classification (Q)
|
96% |
1559
291.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1375
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2173
35.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2604
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6494
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
13900
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12060
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1517
120.4 IPS |
|
|
Object Detection (HP)
|
97% |
2428
193.3 IPS |
|
|
Object Detection (Q)
|
94% |
1793
142.9 IPS |
|
|
Face Detection (SP)
|
100% |
3016
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
5526
65.7 IPS |
|
|
Face Detection (Q)
|
100% |
3187
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5824
44.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11050
85.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7658
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16659
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
26212
33.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21890
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3716
137.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4451
164.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3392
125.3 IPS |
|
|
Text Classification (SP)
|
100% |
2314
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4066
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4004
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
2476
42.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3809
65.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4250
73.5 IPS |
