MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3040
Single Precision Score
14665
Half Precision Score
15061
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | May 18 2025 06:12 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
1234
229.4 IPS |
|
|
Image Classification (HP)
|
100% |
6178
1.15 KIPS |
|
|
Image Classification (Q)
|
99% |
6362
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1339
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8446
136.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
7885
127.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6423
7.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
68002
79.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
66251
77.7 IPS |
|
|
Object Detection (SP)
|
100% |
1254
99.4 IPS |
|
|
Object Detection (HP)
|
99% |
7081
563.3 IPS |
|
|
Object Detection (Q)
|
91% |
6825
545.4 IPS |
|
|
Face Detection (SP)
|
100% |
2954
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
13032
154.9 IPS |
|
|
Face Detection (Q)
|
100% |
13889
165.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5620
43.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
44257
341.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
47147
364.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16718
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
118293
152.1 IPS |
|
|
Style Transfer (Q)
|
100% |
124088
159.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3675
135.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23832
880.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
24674
914.1 IPS |
|
|
Text Classification (SP)
|
100% |
2164
2.89 KIPS |
|
|
Text Classification (HP)
|
100% |
3779
5.04 KIPS |
|
|
Text Classification (Q)
|
93% |
3705
4.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
2295
39.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2980
51.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3566
61.6 IPS |
