MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3165
Single Precision Score
13823
Half Precision Score
14068
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Hais |
| Upload Date | November 06 2024 11:23 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5046f) |
| 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% |
1385
257.5 IPS |
|
|
Image Classification (HP)
|
100% |
6316
1.17 KIPS |
|
|
Image Classification (Q)
|
99% |
6384
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1364
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6136
99.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
6097
98.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6384
7.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
68073
79.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
65307
76.6 IPS |
|
|
Object Detection (SP)
|
100% |
1479
117.3 IPS |
|
|
Object Detection (HP)
|
99% |
7015
558.0 IPS |
|
|
Object Detection (Q)
|
91% |
6913
552.4 IPS |
|
|
Face Detection (SP)
|
100% |
2954
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
12821
152.3 IPS |
|
|
Face Detection (Q)
|
100% |
14139
168.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5774
44.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
44070
339.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
46892
362.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16426
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
118914
152.9 IPS |
|
|
Style Transfer (Q)
|
100% |
125149
160.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3648
134.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23397
863.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
24299
900.2 IPS |
|
|
Text Classification (SP)
|
100% |
2265
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3833
5.12 KIPS |
|
|
Text Classification (Q)
|
93% |
3789
5.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
2448
42.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2285
39.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2263
39.1 IPS |
