MacBook Pro (13-inch Late 2020)
Geekbench AI Score
5341
Single Precision Score
6180
Half Precision Score
5693
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 10 2025 01:51 AM |
| Views | 7 |
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% |
2003
372.5 IPS |
|
|
Image Classification (HP)
|
100% |
2272
422.6 IPS |
|
|
Image Classification (Q)
|
96% |
1925
359.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3994
64.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4249
68.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4074
66.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
17083
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18600
21.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
17907
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2606
206.7 IPS |
|
|
Object Detection (HP)
|
100% |
2682
212.8 IPS |
|
|
Object Detection (Q)
|
92% |
2416
192.8 IPS |
|
|
Face Detection (SP)
|
100% |
6811
80.9 IPS |
|
|
Face Detection (HP)
|
100% |
8241
97.9 IPS |
|
|
Face Detection (Q)
|
100% |
6996
83.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
12068
93.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
13582
104.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
12361
96.7 IPS |
|
|
Style Transfer (SP)
|
100% |
29246
37.6 IPS |
|
|
Style Transfer (HP)
|
100% |
35274
45.3 IPS |
|
|
Style Transfer (Q)
|
96% |
34303
44.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6499
240.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7217
266.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6056
223.6 IPS |
|
|
Text Classification (SP)
|
100% |
2259
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3855
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3821
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1503
25.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1537
26.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1536
26.5 IPS |
