MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3075
Single Precision Score
14901
Half Precision Score
15069
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | January 23 2025 12:19 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
1337
248.6 IPS |
|
|
Image Classification (HP)
|
100% |
5640
1.05 KIPS |
|
|
Image Classification (Q)
|
99% |
6277
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1339
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8499
137.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
7986
129.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6499
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
68848
80.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
63779
74.8 IPS |
|
|
Object Detection (SP)
|
100% |
1333
105.8 IPS |
|
|
Object Detection (HP)
|
99% |
7178
571.0 IPS |
|
|
Object Detection (Q)
|
91% |
6896
551.0 IPS |
|
|
Face Detection (SP)
|
100% |
3014
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
13035
154.9 IPS |
|
|
Face Detection (Q)
|
100% |
14049
166.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5570
42.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
43630
336.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
47159
364.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16307
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
119853
154.1 IPS |
|
|
Style Transfer (Q)
|
100% |
125218
161.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3398
125.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24185
893.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
24226
897.5 IPS |
|
|
Text Classification (SP)
|
100% |
2309
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3773
5.04 KIPS |
|
|
Text Classification (Q)
|
93% |
3788
5.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2271
39.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3664
63.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3597
62.2 IPS |
