MacBook Pro (13-inch Late 2020)
Geekbench AI Score
2983
Single Precision Score
14111
Half Precision Score
14530
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | November 12 2024 05:22 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5079e) |
| 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% |
1333
247.9 IPS |
|
|
Image Classification (HP)
|
100% |
6091
1.13 KIPS |
|
|
Image Classification (Q)
|
99% |
6294
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1130
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8176
132.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
7637
123.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6488
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
67333
78.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
64848
76.1 IPS |
|
|
Object Detection (SP)
|
100% |
1055
83.7 IPS |
|
|
Object Detection (HP)
|
99% |
6566
522.3 IPS |
|
|
Object Detection (Q)
|
91% |
6505
519.8 IPS |
|
|
Face Detection (SP)
|
100% |
2893
34.4 IPS |
|
|
Face Detection (HP)
|
100% |
10775
128.0 IPS |
|
|
Face Detection (Q)
|
100% |
13252
157.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5733
44.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
43374
334.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
44850
346.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16837
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
118396
152.2 IPS |
|
|
Style Transfer (Q)
|
100% |
123237
158.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3484
128.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24051
888.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
23824
882.6 IPS |
|
|
Text Classification (SP)
|
100% |
2267
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3526
4.71 KIPS |
|
|
Text Classification (Q)
|
93% |
3826
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
2456
42.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3030
52.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3100
53.6 IPS |
