MacBook Pro (13-inch Late 2020)
Geekbench AI Score
2836
Single Precision Score
4272
Half Precision Score
3705
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | FSSNAG |
| Upload Date | October 24 2024 06:40 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.7 (Build 23H124) |
| 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% |
1316
244.7 IPS |
|
|
Image Classification (HP)
|
100% |
1698
315.8 IPS |
|
|
Image Classification (Q)
|
96% |
1291
241.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1188
19.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1153
18.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1677
27.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5851
6.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
13529
15.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11711
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1403
111.3 IPS |
|
|
Object Detection (HP)
|
97% |
1955
155.6 IPS |
|
|
Object Detection (Q)
|
94% |
1526
121.6 IPS |
|
|
Face Detection (SP)
|
100% |
2391
28.4 IPS |
|
|
Face Detection (HP)
|
100% |
4055
48.2 IPS |
|
|
Face Detection (Q)
|
100% |
2603
30.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5223
40.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
8181
63.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
6182
48.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15544
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
24762
31.8 IPS |
|
|
Style Transfer (Q)
|
96% |
20857
26.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3363
124.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4305
158.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3395
125.4 IPS |
|
|
Text Classification (SP)
|
100% |
2266
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3642
4.86 KIPS |
|
|
Text Classification (Q)
|
93% |
3650
4.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
1775
30.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3037
52.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3032
52.4 IPS |
