MacBook Pro (13-inch Late 2020)
Geekbench AI Score
2934
Single Precision Score
14453
Half Precision Score
14184
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | September 20 2025 01:33 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 | 3.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1253
233.0 IPS |
|
|
Image Classification (HP)
|
100% |
6093
1.13 KIPS |
|
|
Image Classification (Q)
|
96% |
5770
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1281
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8588
139.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
8953
145.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5712
6.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
64356
75.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
59141
69.3 IPS |
|
|
Object Detection (SP)
|
100% |
1312
104.0 IPS |
|
|
Object Detection (HP)
|
99% |
6692
532.3 IPS |
|
|
Object Detection (Q)
|
91% |
6318
504.8 IPS |
|
|
Face Detection (SP)
|
100% |
2743
32.6 IPS |
|
|
Face Detection (HP)
|
100% |
13143
156.2 IPS |
|
|
Face Detection (Q)
|
100% |
12589
149.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4894
37.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
42854
330.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
45325
354.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15640
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
115754
148.8 IPS |
|
|
Style Transfer (Q)
|
96% |
107490
138.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3318
122.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23764
877.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23819
879.5 IPS |
|
|
Text Classification (SP)
|
100% |
2342
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
4143
5.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4147
5.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2413
41.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2751
47.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2819
48.7 IPS |
