MacBook Pro (13-inch Late 2020)
Geekbench AI Score
4945
Single Precision Score
5816
Half Precision Score
5169
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 23 2024 08:19 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2359
438.7 IPS |
|
|
Image Classification (HP)
|
100% |
2428
451.6 IPS |
|
|
Image Classification (Q)
|
97% |
2115
394.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2733
44.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3646
59.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3704
60.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
16943
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18736
21.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
17306
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
2675
212.2 IPS |
|
|
Object Detection (HP)
|
100% |
2706
214.6 IPS |
|
|
Object Detection (Q)
|
91% |
2268
181.2 IPS |
|
|
Face Detection (SP)
|
100% |
6761
80.3 IPS |
|
|
Face Detection (HP)
|
100% |
8300
98.6 IPS |
|
|
Face Detection (Q)
|
100% |
5761
68.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12028
92.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
13626
105.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
11316
88.5 IPS |
|
|
Style Transfer (SP)
|
100% |
29314
37.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35407
45.5 IPS |
|
|
Style Transfer (Q)
|
96% |
33135
42.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6508
240.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7273
268.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5509
203.4 IPS |
|
|
Text Classification (SP)
|
100% |
2299
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4060
5.42 KIPS |
|
|
Text Classification (Q)
|
93% |
3957
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
840
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
835
14.4 IPS |
|
|
Machine Translation (Q)
|
98% |
941
16.3 IPS |
