MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3069
Single Precision Score
14817
Half Precision Score
14636
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 12 2025 02:20 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 2.98 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1179
219.2 IPS |
|
|
Image Classification (HP)
|
100% |
4912
913.4 IPS |
|
|
Image Classification (Q)
|
96% |
4827
901.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1036
16.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7407
120.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7409
120.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6447
7.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
68892
80.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
67010
78.5 IPS |
|
|
Object Detection (SP)
|
100% |
1496
118.7 IPS |
|
|
Object Detection (HP)
|
99% |
7130
567.2 IPS |
|
|
Object Detection (Q)
|
91% |
6707
535.9 IPS |
|
|
Face Detection (SP)
|
100% |
2937
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
15407
183.1 IPS |
|
|
Face Detection (Q)
|
100% |
14461
171.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5766
44.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
48131
370.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
48820
381.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16692
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
122810
157.9 IPS |
|
|
Style Transfer (Q)
|
96% |
117401
151.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3720
137.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23789
878.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25080
926.1 IPS |
|
|
Text Classification (SP)
|
100% |
2351
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
4125
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4112
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
2551
43.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3194
55.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3284
56.8 IPS |
