MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3244
Single Precision Score
14021
Half Precision Score
14172
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Hais |
| Upload Date | November 09 2024 12:16 PM |
| Views | 21 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5046f) |
| 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)
|
99% |
6615
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1435
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6204
100.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
6198
100.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6499
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
67908
79.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
64787
76.0 IPS |
|
|
Object Detection (SP)
|
100% |
1516
120.3 IPS |
|
|
Object Detection (HP)
|
99% |
7152
568.9 IPS |
|
|
Object Detection (Q)
|
91% |
6890
550.5 IPS |
|
|
Face Detection (SP)
|
100% |
3016
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
13186
156.7 IPS |
|
|
Face Detection (Q)
|
100% |
13662
162.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5802
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
44716
344.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
47518
367.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16886
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
119478
153.6 IPS |
|
|
Style Transfer (Q)
|
100% |
124086
159.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3793
140.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23779
878.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
24407
904.3 IPS |
|
|
Text Classification (SP)
|
100% |
2287
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3909
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
3882
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2551
43.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2327
40.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2341
40.5 IPS |
