MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3221
Single Precision Score
16543
Half Precision Score
16166
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | crathje |
| Upload Date | November 08 2024 09:33 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
1399
260.2 IPS |
|
|
Image Classification (HP)
|
100% |
6398
1.19 KIPS |
|
|
Image Classification (Q)
|
96% |
6031
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1372
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9797
158.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10059
163.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6547
7.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
69046
80.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
67220
78.8 IPS |
|
|
Object Detection (SP)
|
100% |
1519
120.5 IPS |
|
|
Object Detection (HP)
|
99% |
7326
582.8 IPS |
|
|
Object Detection (Q)
|
91% |
6885
550.1 IPS |
|
|
Face Detection (SP)
|
100% |
3014
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
16892
200.7 IPS |
|
|
Face Detection (Q)
|
100% |
15315
182.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5819
44.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
48830
376.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
49092
383.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16736
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
122036
156.9 IPS |
|
|
Style Transfer (Q)
|
96% |
115088
148.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3731
137.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23606
871.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24531
905.8 IPS |
|
|
Text Classification (SP)
|
100% |
2317
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4033
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
3981
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2488
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5054
87.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5139
88.8 IPS |
