MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3228
Single Precision Score
13200
Half Precision Score
13439
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Hais |
| Upload Date | August 16 2024 06:30 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5264n) |
| 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 | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1373
255.3 IPS |
|
|
Image Classification (HP)
|
100% |
6367
1.18 KIPS |
|
|
Image Classification (Q)
|
99% |
6635
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1413
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4452
72.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
4464
72.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6487
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
69070
80.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
66267
77.7 IPS |
|
|
Object Detection (SP)
|
100% |
1506
119.5 IPS |
|
|
Object Detection (HP)
|
99% |
7234
575.4 IPS |
|
|
Object Detection (Q)
|
93% |
6805
543.0 IPS |
|
|
Face Detection (SP)
|
100% |
2969
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
13071
155.3 IPS |
|
|
Face Detection (Q)
|
100% |
12959
154.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5816
44.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
44676
344.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
47285
365.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16977
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
120201
154.5 IPS |
|
|
Style Transfer (Q)
|
100% |
125809
161.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3790
139.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17794
657.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
20717
767.5 IPS |
|
|
Text Classification (SP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3936
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3921
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2546
43.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2308
39.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2298
39.7 IPS |
