MacBook Pro (13-inch Late 2020)
Geekbench AI Score
2952
Single Precision Score
14372
Half Precision Score
14077
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Dangerpig |
| Upload Date | December 27 2025 11:07 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5037j) |
| 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 | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1262
234.7 IPS |
|
|
Image Classification (HP)
|
100% |
6097
1.13 KIPS |
|
|
Image Classification (Q)
|
96% |
5684
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1228
19.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8513
138.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
8902
144.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5835
6.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
67528
78.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
64899
76.1 IPS |
|
|
Object Detection (SP)
|
100% |
1356
107.5 IPS |
|
|
Object Detection (HP)
|
99% |
6715
534.1 IPS |
|
|
Object Detection (Q)
|
91% |
6277
501.6 IPS |
|
|
Face Detection (SP)
|
100% |
2771
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
13124
155.9 IPS |
|
|
Face Detection (Q)
|
100% |
12575
149.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5328
41.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
43643
336.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
44862
350.6 IPS |
|
|
Style Transfer (SP)
|
100% |
15190
19.5 IPS |
|
|
Style Transfer (HP)
|
100% |
119273
153.3 IPS |
|
|
Style Transfer (Q)
|
96% |
112165
144.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3341
123.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23829
879.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23952
884.4 IPS |
|
|
Text Classification (SP)
|
100% |
2330
3.11 KIPS |
|
|
Text Classification (HP)
|
99% |
4058
5.42 KIPS |
|
|
Text Classification (Q)
|
93% |
3938
5.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2352
40.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2419
41.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2484
42.9 IPS |
