MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3215
Single Precision Score
16559
Half Precision Score
16365
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Duarte475 |
| Upload Date | November 09 2024 11:36 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
1398
260.0 IPS |
|
|
Image Classification (HP)
|
100% |
6413
1.19 KIPS |
|
|
Image Classification (Q)
|
96% |
6092
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1379
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9689
157.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10091
163.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6476
7.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
69312
80.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
65972
77.3 IPS |
|
|
Object Detection (SP)
|
100% |
1515
120.2 IPS |
|
|
Object Detection (HP)
|
99% |
7340
583.9 IPS |
|
|
Object Detection (Q)
|
91% |
6840
546.5 IPS |
|
|
Face Detection (SP)
|
100% |
2975
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
16882
200.6 IPS |
|
|
Face Detection (Q)
|
100% |
15471
183.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5800
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
48774
375.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
51144
399.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16844
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
122457
157.4 IPS |
|
|
Style Transfer (Q)
|
96% |
115632
149.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3716
137.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23932
883.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24904
919.6 IPS |
|
|
Text Classification (SP)
|
100% |
2307
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4035
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4013
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
2508
43.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5038
86.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5432
93.9 IPS |
