MacBook Pro (13-inch Late 2020)
Geekbench AI Score
4122
Single Precision Score
4691
Half Precision Score
1571
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 24 2025 12:48 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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 | 3.14 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1828
340.0 IPS |
|
|
Image Classification (HP)
|
100% |
1757
326.7 IPS |
|
|
Image Classification (Q)
|
97% |
1315
245.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2088
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3172
51.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3275
53.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15582
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18061
21.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
16572
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2380
188.8 IPS |
|
|
Object Detection (HP)
|
100% |
2628
208.5 IPS |
|
|
Object Detection (Q)
|
92% |
1951
155.7 IPS |
|
|
Face Detection (SP)
|
100% |
5976
71.0 IPS |
|
|
Face Detection (HP)
|
100% |
7260
86.3 IPS |
|
|
Face Detection (Q)
|
100% |
5268
62.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12231
94.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
13285
102.4 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
82.7 IPS |
|
|
Style Transfer (SP)
|
100% |
28334
36.4 IPS |
|
|
Style Transfer (HP)
|
100% |
33965
43.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31292
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6458
238.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7171
264.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5297
195.6 IPS |
|
|
Text Classification (SP)
|
100% |
761
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
694
926.6 IPS |
|
|
Text Classification (Q)
|
93% |
648
869.3 IPS |
|
|
Machine Translation (SP)
|
100% |
985
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1197
20.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1165
20.1 IPS |
