MacBook Pro (13-inch Late 2020)
Geekbench AI Score
2864
Single Precision Score
13905
Half Precision Score
13682
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | September 20 2025 01:50 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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 | 3.02 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1241
230.8 IPS |
|
|
Image Classification (HP)
|
100% |
6069
1.13 KIPS |
|
|
Image Classification (Q)
|
96% |
5759
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1253
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8169
132.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
8603
139.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5521
6.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
61690
72.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
59957
70.3 IPS |
|
|
Object Detection (SP)
|
100% |
1253
99.4 IPS |
|
|
Object Detection (HP)
|
99% |
6702
533.1 IPS |
|
|
Object Detection (Q)
|
91% |
6113
488.4 IPS |
|
|
Face Detection (SP)
|
100% |
2682
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
12837
152.5 IPS |
|
|
Face Detection (Q)
|
100% |
11670
138.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4902
37.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
44266
341.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
43571
340.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15178
19.5 IPS |
|
|
Style Transfer (HP)
|
100% |
113489
145.9 IPS |
|
|
Style Transfer (Q)
|
96% |
104191
134.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3215
118.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23277
859.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23615
872.0 IPS |
|
|
Text Classification (SP)
|
100% |
2342
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
4135
5.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4103
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2304
39.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2124
36.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2467
42.6 IPS |
