MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3040
Single Precision Score
5290
Half Precision Score
4651
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | May 07 2025 02:22 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1301
241.9 IPS |
|
|
Image Classification (HP)
|
100% |
2185
406.4 IPS |
|
|
Image Classification (Q)
|
99% |
2187
408.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1292
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2138
34.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
2121
34.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5598
6.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
14113
16.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
11710
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1225
97.1 IPS |
|
|
Object Detection (HP)
|
97% |
2319
184.7 IPS |
|
|
Object Detection (Q)
|
94% |
1755
139.9 IPS |
|
|
Face Detection (SP)
|
100% |
2956
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
4712
56.0 IPS |
|
|
Face Detection (Q)
|
100% |
2871
34.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5580
43.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10354
80.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
10213
79.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16694
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26787
34.4 IPS |
|
|
Style Transfer (Q)
|
100% |
26682
34.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3575
132.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4708
173.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3462
128.2 IPS |
|
|
Text Classification (SP)
|
100% |
2364
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
4106
5.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4074
5.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
2514
43.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4451
76.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4508
77.9 IPS |
