MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3223
Single Precision Score
14732
Half Precision Score
14421
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Hogehoge |
| Upload Date | September 16 2024 02:53 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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% |
1404
261.1 IPS |
|
|
Image Classification (HP)
|
100% |
6425
1.19 KIPS |
|
|
Image Classification (Q)
|
96% |
6051
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1369
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6642
107.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
6795
110.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6539
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
68856
80.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
66100
77.5 IPS |
|
|
Object Detection (SP)
|
100% |
1521
120.6 IPS |
|
|
Object Detection (HP)
|
99% |
7322
582.4 IPS |
|
|
Object Detection (Q)
|
91% |
7033
562.0 IPS |
|
|
Face Detection (SP)
|
100% |
3035
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
16851
200.2 IPS |
|
|
Face Detection (Q)
|
100% |
15492
184.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5802
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
48669
375.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
50090
391.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16949
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
122483
157.5 IPS |
|
|
Style Transfer (Q)
|
96% |
116088
149.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3720
137.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23831
880.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24522
905.5 IPS |
|
|
Text Classification (SP)
|
100% |
2299
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3973
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3961
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2486
42.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2354
40.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2326
40.2 IPS |
