MacBook Pro (13-inch Late 2020)
Geekbench AI Score
2958
Single Precision Score
14482
Half Precision Score
14190
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | September 20 2025 12:27 AM |
| Views | 4 |
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% |
1262
234.6 IPS |
|
|
Image Classification (HP)
|
100% |
6093
1.13 KIPS |
|
|
Image Classification (Q)
|
96% |
5744
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1275
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8548
138.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
8897
144.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5698
6.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
63514
74.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
60004
70.3 IPS |
|
|
Object Detection (SP)
|
100% |
1333
105.7 IPS |
|
|
Object Detection (HP)
|
99% |
6769
538.4 IPS |
|
|
Object Detection (Q)
|
91% |
6172
493.2 IPS |
|
|
Face Detection (SP)
|
100% |
2774
33.0 IPS |
|
|
Face Detection (HP)
|
100% |
13126
156.0 IPS |
|
|
Face Detection (Q)
|
100% |
12565
149.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5223
40.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
44513
342.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
45970
359.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15627
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
115452
148.4 IPS |
|
|
Style Transfer (Q)
|
96% |
108919
140.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3297
121.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23794
878.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23868
881.3 IPS |
|
|
Text Classification (SP)
|
100% |
2347
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
4125
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4147
5.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2403
41.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2738
47.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2809
48.5 IPS |
