MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3212
Single Precision Score
14559
Half Precision Score
14137
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Tom34772 |
| Upload Date | September 08 2024 12:36 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5035e) |
| 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
261.1 IPS |
|
|
Image Classification (HP)
|
100% |
6285
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5861
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1376
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6600
107.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
6751
109.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6522
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
68897
80.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
65694
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
1518
120.4 IPS |
|
|
Object Detection (HP)
|
99% |
7240
575.9 IPS |
|
|
Object Detection (Q)
|
91% |
6716
536.7 IPS |
|
|
Face Detection (SP)
|
100% |
3016
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
16839
200.1 IPS |
|
|
Face Detection (Q)
|
100% |
15384
182.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5817
44.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
48038
370.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
48631
380.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16656
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
122022
156.9 IPS |
|
|
Style Transfer (Q)
|
96% |
114918
148.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3730
137.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23218
857.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23971
885.1 IPS |
|
|
Text Classification (SP)
|
100% |
2264
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3883
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3854
5.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
2477
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2324
40.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2300
39.7 IPS |
