MacBook Pro (13-inch Late 2020)
Geekbench AI Score
4938
Single Precision Score
5723
Half Precision Score
5098
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | wilbvh |
| Upload Date | September 09 2024 09:19 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5331b) |
| 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% |
2276
423.3 IPS |
|
|
Image Classification (HP)
|
100% |
2253
419.0 IPS |
|
|
Image Classification (Q)
|
97% |
1971
367.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2690
43.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3691
59.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3678
59.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
17106
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18524
21.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
17170
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
2766
219.4 IPS |
|
|
Object Detection (HP)
|
100% |
2690
213.4 IPS |
|
|
Object Detection (Q)
|
91% |
2172
173.6 IPS |
|
|
Face Detection (SP)
|
100% |
6737
80.1 IPS |
|
|
Face Detection (HP)
|
100% |
8369
99.4 IPS |
|
|
Face Detection (Q)
|
100% |
5895
70.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11960
92.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
13530
104.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
10719
83.8 IPS |
|
|
Style Transfer (SP)
|
100% |
28750
37.0 IPS |
|
|
Style Transfer (HP)
|
100% |
34436
44.3 IPS |
|
|
Style Transfer (Q)
|
96% |
32292
41.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6749
249.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7106
262.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5456
201.5 IPS |
|
|
Text Classification (SP)
|
100% |
2246
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3873
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
3829
5.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
848
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
848
14.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1029
17.8 IPS |
