MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3099
Single Precision Score
15063
Half Precision Score
14621
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | GeroGuitarrero |
| Upload Date | October 27 2025 02:24 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1317
244.9 IPS |
|
|
Image Classification (HP)
|
100% |
6311
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5967
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1318
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8898
144.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9192
149.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6023
7.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
67491
78.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
64421
75.5 IPS |
|
|
Object Detection (SP)
|
100% |
1396
110.7 IPS |
|
|
Object Detection (HP)
|
99% |
7020
558.4 IPS |
|
|
Object Detection (Q)
|
91% |
6458
516.1 IPS |
|
|
Face Detection (SP)
|
100% |
2996
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
13883
165.0 IPS |
|
|
Face Detection (Q)
|
100% |
12806
152.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5489
42.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
44981
346.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
45198
353.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16481
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
121453
156.1 IPS |
|
|
Style Transfer (Q)
|
96% |
113829
146.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3467
128.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24334
898.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24260
895.8 IPS |
|
|
Text Classification (SP)
|
100% |
2411
3.22 KIPS |
|
|
Text Classification (HP)
|
99% |
4352
5.81 KIPS |
|
|
Text Classification (Q)
|
93% |
4305
5.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
2473
42.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2815
48.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2845
49.2 IPS |
