MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3234
Single Precision Score
14860
Half Precision Score
14361
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 18 2024 09:22 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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% |
1404
261.0 IPS |
|
|
Image Classification (HP)
|
100% |
6407
1.19 KIPS |
|
|
Image Classification (Q)
|
96% |
6037
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1385
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6630
107.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
6904
111.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6530
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
68922
80.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
65966
77.3 IPS |
|
|
Object Detection (SP)
|
100% |
1519
120.5 IPS |
|
|
Object Detection (HP)
|
99% |
7529
598.9 IPS |
|
|
Object Detection (Q)
|
91% |
6703
535.6 IPS |
|
|
Face Detection (SP)
|
100% |
3025
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
16845
200.2 IPS |
|
|
Face Detection (Q)
|
100% |
15741
187.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5832
44.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
50370
388.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
50191
392.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17061
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
122442
157.4 IPS |
|
|
Style Transfer (Q)
|
96% |
115207
148.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3741
138.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24182
892.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24107
890.2 IPS |
|
|
Text Classification (SP)
|
100% |
2312
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4051
5.41 KIPS |
|
|
Text Classification (Q)
|
93% |
3972
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2499
43.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2341
40.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2324
40.2 IPS |
