MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3225
Single Precision Score
14020
Half Precision Score
14228
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Hais |
| Upload Date | November 13 2024 12:19 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5046f) |
| 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% |
1360
253.0 IPS |
|
|
Image Classification (HP)
|
100% |
6380
1.19 KIPS |
|
|
Image Classification (Q)
|
99% |
6626
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1406
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6143
99.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
6205
100.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6470
7.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
68432
79.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
66225
77.7 IPS |
|
|
Object Detection (SP)
|
100% |
1518
120.4 IPS |
|
|
Object Detection (HP)
|
99% |
7149
568.7 IPS |
|
|
Object Detection (Q)
|
91% |
7013
560.4 IPS |
|
|
Face Detection (SP)
|
100% |
3007
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
13155
156.3 IPS |
|
|
Face Detection (Q)
|
100% |
13737
163.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5825
44.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
44934
346.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
47403
366.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16947
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
120061
154.3 IPS |
|
|
Style Transfer (Q)
|
100% |
125894
161.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3771
139.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23809
879.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
24371
902.9 IPS |
|
|
Text Classification (SP)
|
100% |
2293
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3921
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3893
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2530
43.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2310
39.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2290
39.6 IPS |
