MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3182
Single Precision Score
5169
Half Precision Score
4552
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | August 19 2024 05:09 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| 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% |
1381
256.8 IPS |
|
|
Image Classification (HP)
|
100% |
2122
394.6 IPS |
|
|
Image Classification (Q)
|
99% |
2105
392.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1324
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2033
33.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
2024
32.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6510
7.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
13872
16.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
11883
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1495
118.6 IPS |
|
|
Object Detection (HP)
|
97% |
2347
186.8 IPS |
|
|
Object Detection (Q)
|
94% |
1757
140.1 IPS |
|
|
Face Detection (SP)
|
100% |
2993
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
5367
63.8 IPS |
|
|
Face Detection (Q)
|
100% |
3163
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5771
44.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10825
83.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
10806
83.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16781
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
26128
33.6 IPS |
|
|
Style Transfer (Q)
|
100% |
26036
33.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3716
137.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4435
163.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3300
122.3 IPS |
|
|
Text Classification (SP)
|
100% |
2251
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3837
5.12 KIPS |
|
|
Text Classification (Q)
|
93% |
3907
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2472
42.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3756
64.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3747
64.7 IPS |
