MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3081
Single Precision Score
14865
Half Precision Score
14469
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | min2252 |
| Upload Date | March 06 2026 04:15 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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% |
1285
239.0 IPS |
|
|
Image Classification (HP)
|
100% |
6294
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5961
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1306
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8884
144.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9180
148.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6021
7.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
67324
78.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
64410
75.5 IPS |
|
|
Object Detection (SP)
|
100% |
1387
110.0 IPS |
|
|
Object Detection (HP)
|
99% |
6839
544.0 IPS |
|
|
Object Detection (Q)
|
91% |
6327
505.5 IPS |
|
|
Face Detection (SP)
|
100% |
2973
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
13643
162.1 IPS |
|
|
Face Detection (Q)
|
100% |
12385
147.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5474
42.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
44894
345.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
45529
355.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16525
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
121344
156.0 IPS |
|
|
Style Transfer (Q)
|
96% |
114159
147.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3454
127.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24226
894.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24197
893.5 IPS |
|
|
Text Classification (SP)
|
100% |
2399
3.20 KIPS |
|
|
Text Classification (HP)
|
99% |
4256
5.68 KIPS |
|
|
Text Classification (Q)
|
93% |
4248
5.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
2473
42.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2672
46.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2726
47.1 IPS |
