MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3245
Single Precision Score
16537
Half Precision Score
16416
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | lafcadio |
| Upload Date | December 04 2024 04:20 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
1403
261.0 IPS |
|
|
Image Classification (HP)
|
100% |
6402
1.19 KIPS |
|
|
Image Classification (Q)
|
96% |
6066
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1402
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9772
158.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10227
165.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6535
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
68993
80.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
66640
78.1 IPS |
|
|
Object Detection (SP)
|
100% |
1519
120.5 IPS |
|
|
Object Detection (HP)
|
99% |
7396
588.3 IPS |
|
|
Object Detection (Q)
|
91% |
6889
550.5 IPS |
|
|
Face Detection (SP)
|
100% |
3048
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
17086
203.0 IPS |
|
|
Face Detection (Q)
|
100% |
15524
184.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5840
45.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
49046
377.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
51507
402.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16859
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
122310
157.2 IPS |
|
|
Style Transfer (Q)
|
96% |
116080
149.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3754
138.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24036
887.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24521
905.5 IPS |
|
|
Text Classification (SP)
|
100% |
2338
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
4023
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4066
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
2522
43.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4836
83.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5395
93.2 IPS |
