MacBook Pro (13-inch Late 2020)
Geekbench AI Score
5367
Single Precision Score
6127
Half Precision Score
5763
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 10 2025 01:58 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5222f) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2042
379.7 IPS |
|
|
Image Classification (HP)
|
100% |
2058
382.8 IPS |
|
|
Image Classification (Q)
|
96% |
2201
411.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4007
65.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4287
69.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4091
66.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17037
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18698
21.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
17910
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2683
212.8 IPS |
|
|
Object Detection (HP)
|
100% |
2689
213.3 IPS |
|
|
Object Detection (Q)
|
92% |
2422
193.4 IPS |
|
|
Face Detection (SP)
|
100% |
6949
82.6 IPS |
|
|
Face Detection (HP)
|
100% |
8353
99.3 IPS |
|
|
Face Detection (Q)
|
100% |
6772
80.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12090
93.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
13510
104.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
12380
96.8 IPS |
|
|
Style Transfer (SP)
|
100% |
29207
37.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35277
45.3 IPS |
|
|
Style Transfer (Q)
|
96% |
34247
44.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6419
237.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7286
269.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6122
226.1 IPS |
|
|
Text Classification (SP)
|
100% |
2254
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3823
5.10 KIPS |
|
|
Text Classification (Q)
|
93% |
3826
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1496
25.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1517
26.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1540
26.6 IPS |
