MacBook Pro (13-inch Late 2020)
Geekbench AI Score
4951
Single Precision Score
5800
Half Precision Score
5152
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | pcworth |
| Upload Date | January 17 2025 10:02 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2420
450.0 IPS |
|
|
Image Classification (HP)
|
100% |
2453
456.1 IPS |
|
|
Image Classification (Q)
|
97% |
2315
432.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2619
42.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3647
59.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3742
60.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
16967
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18572
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
17324
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
2776
220.2 IPS |
|
|
Object Detection (HP)
|
100% |
2705
214.6 IPS |
|
|
Object Detection (Q)
|
91% |
2254
180.1 IPS |
|
|
Face Detection (SP)
|
100% |
6773
80.5 IPS |
|
|
Face Detection (HP)
|
100% |
8356
99.3 IPS |
|
|
Face Detection (Q)
|
100% |
5633
66.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12219
94.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
13557
104.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
11444
89.5 IPS |
|
|
Style Transfer (SP)
|
100% |
28927
37.2 IPS |
|
|
Style Transfer (HP)
|
100% |
34760
44.7 IPS |
|
|
Style Transfer (Q)
|
96% |
32941
42.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6608
244.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7317
270.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5527
204.1 IPS |
|
|
Text Classification (SP)
|
100% |
2307
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4000
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
4021
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
813
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
832
14.3 IPS |
|
|
Machine Translation (Q)
|
98% |
826
14.3 IPS |
