MacBook Pro (13-inch Late 2020)
Geekbench AI Score
1814
Single Precision Score
12469
Half Precision Score
10107
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Hogehoge |
| Upload Date | September 16 2024 03:17 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
991
184.3 IPS |
|
|
Image Classification (HP)
|
100% |
6523
1.21 KIPS |
|
|
Image Classification (Q)
|
96% |
5712
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
651
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4247
68.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
516
8.36 IPS |
|
|
Pose Estimation (SP)
|
100% |
5719
6.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
67767
79.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
65160
76.4 IPS |
|
|
Object Detection (SP)
|
100% |
1079
85.6 IPS |
|
|
Object Detection (HP)
|
99% |
7161
569.7 IPS |
|
|
Object Detection (Q)
|
93% |
6652
530.8 IPS |
|
|
Face Detection (SP)
|
100% |
1863
22.1 IPS |
|
|
Face Detection (HP)
|
100% |
12505
148.6 IPS |
|
|
Face Detection (Q)
|
100% |
12775
151.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3398
26.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
45044
347.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
51264
400.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9950
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
119506
153.6 IPS |
|
|
Style Transfer (Q)
|
96% |
114852
148.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2530
93.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18024
665.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20861
770.3 IPS |
|
|
Text Classification (SP)
|
100% |
448
598.1 IPS |
|
|
Text Classification (HP)
|
100% |
2420
3.23 KIPS |
|
|
Text Classification (Q)
|
93% |
2403
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1362
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2302
39.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2310
39.9 IPS |
