MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3231
Single Precision Score
14022
Half Precision Score
14230
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Hais |
| Upload Date | November 13 2024 12:22 AM |
| Views | 13 |
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% |
1395
259.5 IPS |
|
|
Image Classification (HP)
|
100% |
6406
1.19 KIPS |
|
|
Image Classification (Q)
|
99% |
6643
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1418
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6207
100.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
6213
100.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6456
7.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
68095
79.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
66296
77.8 IPS |
|
|
Object Detection (SP)
|
100% |
1503
119.2 IPS |
|
|
Object Detection (HP)
|
99% |
7156
569.3 IPS |
|
|
Object Detection (Q)
|
91% |
7003
559.6 IPS |
|
|
Face Detection (SP)
|
100% |
3017
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
13128
156.0 IPS |
|
|
Face Detection (Q)
|
100% |
14068
167.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5795
44.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
44926
346.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
47269
365.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16902
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
120229
154.6 IPS |
|
|
Style Transfer (Q)
|
100% |
125919
161.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3786
139.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23779
878.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
24383
903.4 IPS |
|
|
Text Classification (SP)
|
100% |
2289
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3881
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3771
5.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2527
43.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2318
39.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2309
39.9 IPS |
