MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3224
Single Precision Score
5311
Half Precision Score
4406
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | MidniteMarv |
| Upload Date | February 17 2025 08:45 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| 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% |
1403
260.8 IPS |
|
|
Image Classification (HP)
|
100% |
2189
407.2 IPS |
|
|
Image Classification (Q)
|
96% |
1570
293.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1377
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2150
34.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2604
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6524
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
13936
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12060
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1519
120.5 IPS |
|
|
Object Detection (HP)
|
97% |
2432
193.6 IPS |
|
|
Object Detection (Q)
|
94% |
1797
143.2 IPS |
|
|
Face Detection (SP)
|
100% |
3041
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
5541
65.8 IPS |
|
|
Face Detection (Q)
|
100% |
3197
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5830
44.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11080
85.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7686
60.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16730
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26128
33.6 IPS |
|
|
Style Transfer (Q)
|
96% |
21884
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3706
136.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4402
162.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3356
123.9 IPS |
|
|
Text Classification (SP)
|
100% |
2301
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4089
5.46 KIPS |
|
|
Text Classification (Q)
|
93% |
3974
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2513
43.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3878
67.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4341
75.0 IPS |
