MacBook Pro (13-inch Late 2020)
Geekbench AI Score
2967
Single Precision Score
14433
Half Precision Score
14207
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | September 20 2025 12:28 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% |
1261
234.5 IPS |
|
|
Image Classification (HP)
|
100% |
6089
1.13 KIPS |
|
|
Image Classification (Q)
|
96% |
5772
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1279
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8577
139.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
8897
144.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5718
6.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
60934
71.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
60518
70.9 IPS |
|
|
Object Detection (SP)
|
100% |
1327
105.2 IPS |
|
|
Object Detection (HP)
|
99% |
6703
533.2 IPS |
|
|
Object Detection (Q)
|
91% |
6187
494.4 IPS |
|
|
Face Detection (SP)
|
100% |
2857
33.9 IPS |
|
|
Face Detection (HP)
|
100% |
13141
156.1 IPS |
|
|
Face Detection (Q)
|
100% |
12563
149.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5220
40.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
44999
346.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
45506
355.6 IPS |
|
|
Style Transfer (SP)
|
100% |
15608
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
115507
148.5 IPS |
|
|
Style Transfer (Q)
|
96% |
108620
140.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3310
122.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23636
872.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24076
889.0 IPS |
|
|
Text Classification (SP)
|
100% |
2344
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
4160
5.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4133
5.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
2396
41.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2739
47.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2821
48.8 IPS |
