MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3197
Single Precision Score
5295
Half Precision Score
4622
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | November 21 2024 04:56 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5089c) |
| 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% |
1386
257.7 IPS |
|
|
Image Classification (HP)
|
100% |
2192
407.6 IPS |
|
|
Image Classification (Q)
|
99% |
2160
402.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1357
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2219
36.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
2157
35.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6477
7.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
13923
16.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
11889
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1515
120.2 IPS |
|
|
Object Detection (HP)
|
97% |
2366
188.3 IPS |
|
|
Object Detection (Q)
|
94% |
1741
138.8 IPS |
|
|
Face Detection (SP)
|
100% |
2925
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
5423
64.4 IPS |
|
|
Face Detection (Q)
|
100% |
3126
37.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5814
44.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11052
85.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
10964
84.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16847
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
25870
33.3 IPS |
|
|
Style Transfer (Q)
|
100% |
26499
34.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3709
136.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4470
165.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3358
124.4 IPS |
|
|
Text Classification (SP)
|
100% |
2289
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3917
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3910
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
2487
42.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3989
68.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3872
66.9 IPS |
