MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3203
Single Precision Score
5220
Half Precision Score
4335
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | wilbvh |
| Upload Date | September 10 2024 03:48 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5035e) |
| 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% |
1406
261.6 IPS |
|
|
Image Classification (HP)
|
100% |
2185
406.4 IPS |
|
|
Image Classification (Q)
|
96% |
1558
291.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1366
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2162
35.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2592
42.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6501
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
13870
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11986
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1510
119.7 IPS |
|
|
Object Detection (HP)
|
97% |
2416
192.4 IPS |
|
|
Object Detection (Q)
|
94% |
1789
142.6 IPS |
|
|
Face Detection (SP)
|
100% |
2983
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
5363
63.7 IPS |
|
|
Face Detection (Q)
|
100% |
3177
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5798
44.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10980
84.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7577
59.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16709
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26081
33.5 IPS |
|
|
Style Transfer (Q)
|
96% |
21888
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3717
137.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4401
162.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3332
123.0 IPS |
|
|
Text Classification (SP)
|
100% |
2261
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3729
4.98 KIPS |
|
|
Text Classification (Q)
|
93% |
3679
4.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
2488
42.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3765
65.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4197
72.5 IPS |
