MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3173
Single Precision Score
5288
Half Precision Score
4618
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | October 22 2024 05:52 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B82) |
| 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% |
1378
256.2 IPS |
|
|
Image Classification (HP)
|
100% |
2191
407.5 IPS |
|
|
Image Classification (Q)
|
99% |
2186
407.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1361
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2173
35.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
2160
35.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6508
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
13927
16.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
11605
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1506
119.4 IPS |
|
|
Object Detection (HP)
|
97% |
2430
193.5 IPS |
|
|
Object Detection (Q)
|
94% |
1749
139.4 IPS |
|
|
Face Detection (SP)
|
100% |
2716
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
5437
64.6 IPS |
|
|
Face Detection (Q)
|
100% |
3182
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5716
44.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11067
85.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
11071
85.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16696
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26070
33.5 IPS |
|
|
Style Transfer (Q)
|
100% |
25965
33.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3744
138.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4447
164.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3355
124.3 IPS |
|
|
Text Classification (SP)
|
100% |
2326
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
4139
5.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4102
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2499
43.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3678
63.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3659
63.2 IPS |
