MacBook Pro (13-inch Late 2020)
Geekbench AI Score
1220
Single Precision Score
9617
Half Precision Score
9640
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | whay |
| Upload Date | August 16 2024 03:29 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 1.95 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
662
123.0 IPS |
|
|
Image Classification (HP)
|
100% |
5094
947.3 IPS |
|
|
Image Classification (Q)
|
99% |
5126
956.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
422
6.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
3415
55.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
3411
55.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3777
4.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
48028
56.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
45498
53.4 IPS |
|
|
Object Detection (SP)
|
100% |
731
58.0 IPS |
|
|
Object Detection (HP)
|
99% |
5266
418.9 IPS |
|
|
Object Detection (Q)
|
93% |
4894
390.5 IPS |
|
|
Face Detection (SP)
|
100% |
1219
14.5 IPS |
|
|
Face Detection (HP)
|
100% |
9473
112.6 IPS |
|
|
Face Detection (Q)
|
100% |
8658
102.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2258
17.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
34839
268.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
35897
277.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6427
8.26 IPS |
|
|
Style Transfer (HP)
|
100% |
90904
116.9 IPS |
|
|
Style Transfer (Q)
|
100% |
94943
122.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1756
64.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14439
533.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
15930
590.2 IPS |
|
|
Text Classification (SP)
|
100% |
304
406.2 IPS |
|
|
Text Classification (HP)
|
100% |
2357
3.15 KIPS |
|
|
Text Classification (Q)
|
93% |
2385
3.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1003
17.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1507
26.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1589
27.5 IPS |
