MacBook Pro (13-inch Late 2020)
Geekbench AI Score
4971
Single Precision Score
5816
Half Precision Score
5170
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Bigguswiggus |
| Upload Date | January 12 2025 01:54 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2400
446.3 IPS |
|
|
Image Classification (HP)
|
100% |
2429
451.8 IPS |
|
|
Image Classification (Q)
|
97% |
2050
382.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2707
43.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3651
59.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3753
60.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17105
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18698
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
17296
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
2703
214.4 IPS |
|
|
Object Detection (HP)
|
100% |
2699
214.1 IPS |
|
|
Object Detection (Q)
|
91% |
2230
178.2 IPS |
|
|
Face Detection (SP)
|
100% |
6785
80.6 IPS |
|
|
Face Detection (HP)
|
100% |
8374
99.5 IPS |
|
|
Face Detection (Q)
|
100% |
5857
69.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12290
94.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
13672
105.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
11278
88.2 IPS |
|
|
Style Transfer (SP)
|
100% |
29120
37.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35029
45.0 IPS |
|
|
Style Transfer (Q)
|
96% |
32923
42.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6483
239.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7257
268.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5543
204.7 IPS |
|
|
Text Classification (SP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4044
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
3935
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
850
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
842
14.5 IPS |
|
|
Machine Translation (Q)
|
98% |
971
16.8 IPS |
