MacBook Pro (13-inch Late 2020)
Geekbench AI Score
5144
Single Precision Score
6019
Half Precision Score
5327
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | emberzhang |
| Upload Date | September 18 2024 08:48 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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% |
2577
479.3 IPS |
|
|
Image Classification (HP)
|
100% |
2597
482.9 IPS |
|
|
Image Classification (Q)
|
97% |
2227
415.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2727
44.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3732
60.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3746
60.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
17260
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18855
22.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
17303
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
2868
227.5 IPS |
|
|
Object Detection (HP)
|
100% |
2826
224.2 IPS |
|
|
Object Detection (Q)
|
91% |
2240
179.0 IPS |
|
|
Face Detection (SP)
|
100% |
7062
83.9 IPS |
|
|
Face Detection (HP)
|
100% |
8627
102.5 IPS |
|
|
Face Detection (Q)
|
100% |
5914
70.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12559
96.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
14271
109.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
11103
86.8 IPS |
|
|
Style Transfer (SP)
|
100% |
29346
37.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35175
45.2 IPS |
|
|
Style Transfer (Q)
|
96% |
32983
42.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6899
254.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7767
286.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5861
216.4 IPS |
|
|
Text Classification (SP)
|
100% |
2363
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
4094
5.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4061
5.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
879
15.1 IPS |
|
|
Machine Translation (HP)
|
100% |
879
15.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1106
19.1 IPS |
