MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3100
Single Precision Score
5487
Half Precision Score
4469
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | GeroGuitarrero |
| Upload Date | October 27 2025 02:19 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1323
246.1 IPS |
|
|
Image Classification (HP)
|
100% |
2241
416.7 IPS |
|
|
Image Classification (Q)
|
96% |
1587
296.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1344
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2195
35.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2536
41.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6011
7.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
14123
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12139
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1390
110.2 IPS |
|
|
Object Detection (HP)
|
97% |
2424
193.0 IPS |
|
|
Object Detection (Q)
|
94% |
1790
142.7 IPS |
|
|
Face Detection (SP)
|
100% |
2970
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
5450
64.8 IPS |
|
|
Face Detection (Q)
|
100% |
3188
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5482
42.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10443
80.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7376
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16482
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26299
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21904
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3478
128.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4733
174.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3506
129.5 IPS |
|
|
Text Classification (SP)
|
100% |
2396
3.20 KIPS |
|
|
Text Classification (HP)
|
99% |
4380
5.85 KIPS |
|
|
Text Classification (Q)
|
93% |
4300
5.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
2468
42.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4737
81.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4686
81.0 IPS |
