MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3147
Single Precision Score
15610
Half Precision Score
15181
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | CordonTi |
| Upload Date | December 31 2024 08:54 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
1394
259.3 IPS |
|
|
Image Classification (HP)
|
100% |
6074
1.13 KIPS |
|
|
Image Classification (Q)
|
96% |
5751
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1348
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9594
155.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10089
163.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6313
7.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
69242
80.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
67544
79.2 IPS |
|
|
Object Detection (SP)
|
100% |
1505
119.4 IPS |
|
|
Object Detection (HP)
|
99% |
7137
567.7 IPS |
|
|
Object Detection (Q)
|
91% |
6670
533.0 IPS |
|
|
Face Detection (SP)
|
100% |
2954
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
15544
184.7 IPS |
|
|
Face Detection (Q)
|
100% |
12939
153.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5826
44.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
49456
381.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
50429
394.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16017
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
123332
158.5 IPS |
|
|
Style Transfer (Q)
|
96% |
118830
153.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3527
130.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24427
902.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25360
936.4 IPS |
|
|
Text Classification (SP)
|
100% |
2293
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4008
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
4026
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2397
41.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3215
55.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3143
54.3 IPS |
