MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3208
Single Precision Score
15931
Half Precision Score
15598
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Miroslav_Buryak |
| Upload Date | September 17 2025 11:24 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
1421
264.2 IPS |
|
|
Image Classification (HP)
|
100% |
6330
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
5980
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1355
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9722
157.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10085
163.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6507
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
68885
80.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
67074
78.6 IPS |
|
|
Object Detection (SP)
|
100% |
1508
119.6 IPS |
|
|
Object Detection (HP)
|
99% |
7205
573.2 IPS |
|
|
Object Detection (Q)
|
91% |
6696
535.0 IPS |
|
|
Face Detection (SP)
|
100% |
2975
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
16816
199.8 IPS |
|
|
Face Detection (Q)
|
100% |
15463
183.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5664
43.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
48541
374.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
48660
380.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16989
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
122050
156.9 IPS |
|
|
Style Transfer (Q)
|
96% |
115516
149.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3675
135.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23594
871.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24095
889.7 IPS |
|
|
Text Classification (SP)
|
100% |
2322
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
4034
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4010
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2508
43.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3638
62.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3750
64.8 IPS |
