MacBook Pro (13-inch Late 2020)
Geekbench AI Score
1816
Single Precision Score
12372
Half Precision Score
12372
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | over_time_ |
| Upload Date | August 16 2024 09:03 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
966
179.7 IPS |
|
|
Image Classification (HP)
|
100% |
6372
1.18 KIPS |
|
|
Image Classification (Q)
|
99% |
6533
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
654
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4233
68.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
4238
68.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5731
6.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
67577
78.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
64019
75.1 IPS |
|
|
Object Detection (SP)
|
100% |
1074
85.2 IPS |
|
|
Object Detection (HP)
|
99% |
6971
554.5 IPS |
|
|
Object Detection (Q)
|
93% |
6451
514.8 IPS |
|
|
Face Detection (SP)
|
100% |
1854
22.0 IPS |
|
|
Face Detection (HP)
|
100% |
12375
147.0 IPS |
|
|
Face Detection (Q)
|
100% |
10829
128.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3270
25.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
43717
336.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
47139
364.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9918
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
119047
153.0 IPS |
|
|
Style Transfer (Q)
|
100% |
124569
160.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2516
92.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17892
660.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
20382
755.1 IPS |
|
|
Text Classification (SP)
|
100% |
489
652.4 IPS |
|
|
Text Classification (HP)
|
100% |
2498
3.33 KIPS |
|
|
Text Classification (Q)
|
93% |
2465
3.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1363
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2298
39.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2301
39.8 IPS |
