MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3218
Single Precision Score
14679
Half Precision Score
14315
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Hogehoge |
| Upload Date | September 16 2024 05:36 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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% |
1402
260.8 IPS |
|
|
Image Classification (HP)
|
100% |
6369
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
6041
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1373
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6640
107.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
6755
109.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6547
7.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
68892
80.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
65741
77.1 IPS |
|
|
Object Detection (SP)
|
100% |
1515
120.1 IPS |
|
|
Object Detection (HP)
|
99% |
7280
579.1 IPS |
|
|
Object Detection (Q)
|
91% |
6819
544.8 IPS |
|
|
Face Detection (SP)
|
100% |
3033
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
16832
200.0 IPS |
|
|
Face Detection (Q)
|
100% |
15414
183.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5851
45.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
48807
376.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
49436
386.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16656
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
121895
156.7 IPS |
|
|
Style Transfer (Q)
|
96% |
115912
149.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3708
136.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23716
875.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24392
900.7 IPS |
|
|
Text Classification (SP)
|
100% |
2293
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3946
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3930
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2484
42.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2337
40.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2334
40.3 IPS |
