MacBook Pro (13-inch Late 2020)
Geekbench AI Score
4965
Single Precision Score
5859
Half Precision Score
5181
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | janniebasson001 |
| Upload Date | January 25 2025 01:08 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2398
446.0 IPS |
|
|
Image Classification (HP)
|
100% |
2738
509.2 IPS |
|
|
Image Classification (Q)
|
97% |
2235
417.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2764
44.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3640
59.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3722
60.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17150
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18717
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
17375
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
2712
215.1 IPS |
|
|
Object Detection (HP)
|
100% |
2699
214.1 IPS |
|
|
Object Detection (Q)
|
91% |
2256
180.3 IPS |
|
|
Face Detection (SP)
|
100% |
6757
80.3 IPS |
|
|
Face Detection (HP)
|
100% |
8360
99.3 IPS |
|
|
Face Detection (Q)
|
100% |
5852
69.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12176
93.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
13603
104.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
11345
88.7 IPS |
|
|
Style Transfer (SP)
|
100% |
29158
37.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35042
45.0 IPS |
|
|
Style Transfer (Q)
|
96% |
33029
42.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6596
243.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7282
268.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5513
203.6 IPS |
|
|
Text Classification (SP)
|
100% |
2282
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3990
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
4024
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
819
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
818
14.1 IPS |
|
|
Machine Translation (Q)
|
98% |
880
15.2 IPS |
