MacBook Pro (13-inch Late 2020)
Geekbench AI Score
4946
Single Precision Score
5837
Half Precision Score
5240
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | crathje |
| Upload Date | November 08 2024 09:31 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
2373
441.3 IPS |
|
|
Image Classification (HP)
|
100% |
2418
449.6 IPS |
|
|
Image Classification (Q)
|
97% |
2240
418.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2680
43.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3642
59.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3710
60.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
17071
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18719
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
17431
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
2712
215.1 IPS |
|
|
Object Detection (HP)
|
100% |
2716
215.5 IPS |
|
|
Object Detection (Q)
|
91% |
2249
179.7 IPS |
|
|
Face Detection (SP)
|
100% |
6654
79.1 IPS |
|
|
Face Detection (HP)
|
100% |
8518
101.2 IPS |
|
|
Face Detection (Q)
|
100% |
5883
69.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12242
94.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
13670
105.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
11337
88.6 IPS |
|
|
Style Transfer (SP)
|
100% |
28950
37.2 IPS |
|
|
Style Transfer (HP)
|
100% |
34843
44.8 IPS |
|
|
Style Transfer (Q)
|
96% |
32867
42.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6550
241.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7290
269.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5565
205.5 IPS |
|
|
Text Classification (SP)
|
100% |
2310
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3987
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3975
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
835
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
871
15.0 IPS |
|
|
Machine Translation (Q)
|
98% |
989
17.1 IPS |
