MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3109
Single Precision Score
13830
Half Precision Score
14096
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | August 29 2024 04:08 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5035e) |
| 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% |
1289
239.6 IPS |
|
|
Image Classification (HP)
|
100% |
6152
1.14 KIPS |
|
|
Image Classification (Q)
|
99% |
6610
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1378
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6135
99.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
5829
94.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5995
7.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
67069
78.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
66743
78.3 IPS |
|
|
Object Detection (SP)
|
100% |
1447
114.8 IPS |
|
|
Object Detection (HP)
|
99% |
7120
566.4 IPS |
|
|
Object Detection (Q)
|
91% |
6947
555.1 IPS |
|
|
Face Detection (SP)
|
100% |
2790
33.2 IPS |
|
|
Face Detection (HP)
|
100% |
12998
154.4 IPS |
|
|
Face Detection (Q)
|
100% |
14132
167.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5699
43.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
44358
341.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
47301
365.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16670
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
118352
152.1 IPS |
|
|
Style Transfer (Q)
|
100% |
124290
159.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3694
136.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23593
871.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
24011
889.6 IPS |
|
|
Text Classification (SP)
|
100% |
2270
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3825
5.10 KIPS |
|
|
Text Classification (Q)
|
93% |
3810
5.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2467
42.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2308
39.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2281
39.4 IPS |
