MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3196
Single Precision Score
13857
Half Precision Score
14075
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Hais |
| Upload Date | November 06 2024 11:22 PM |
| Views | 12 |
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 | 3.14 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1390
258.5 IPS |
|
|
Image Classification (HP)
|
100% |
6312
1.17 KIPS |
|
|
Image Classification (Q)
|
99% |
6556
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1374
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6174
100.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
6166
100.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6467
7.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
67753
79.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
65396
76.7 IPS |
|
|
Object Detection (SP)
|
100% |
1508
119.6 IPS |
|
|
Object Detection (HP)
|
99% |
7044
560.4 IPS |
|
|
Object Detection (Q)
|
91% |
6711
536.2 IPS |
|
|
Face Detection (SP)
|
100% |
2980
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
13051
155.1 IPS |
|
|
Face Detection (Q)
|
100% |
14085
167.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5766
44.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
44432
342.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
47115
364.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16717
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
118450
152.3 IPS |
|
|
Style Transfer (Q)
|
100% |
123871
159.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3732
137.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23655
873.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
24084
892.3 IPS |
|
|
Text Classification (SP)
|
100% |
2261
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3880
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3864
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2470
42.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2227
38.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2249
38.9 IPS |
