MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3175
Single Precision Score
5221
Half Precision Score
4525
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | December 17 2024 08:14 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| 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% |
1366
253.9 IPS |
|
|
Image Classification (HP)
|
100% |
2141
398.2 IPS |
|
|
Image Classification (Q)
|
99% |
2091
390.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1342
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2156
34.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
2170
35.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6504
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
13605
15.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
11797
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1497
118.8 IPS |
|
|
Object Detection (HP)
|
97% |
2320
184.7 IPS |
|
|
Object Detection (Q)
|
94% |
1548
123.4 IPS |
|
|
Face Detection (SP)
|
100% |
2969
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
5398
64.1 IPS |
|
|
Face Detection (Q)
|
100% |
3151
37.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5758
44.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10726
82.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
10996
85.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16718
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
25822
33.2 IPS |
|
|
Style Transfer (Q)
|
100% |
25877
33.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3694
136.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4596
169.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3319
123.0 IPS |
|
|
Text Classification (SP)
|
100% |
2245
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3913
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
3865
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2466
42.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3846
66.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3783
65.4 IPS |
