MacBook Pro (13-inch Late 2020)
Geekbench AI Score
2899
Single Precision Score
4331
Half Precision Score
3713
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Hogehoge |
| Upload Date | September 16 2024 03:00 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1315
244.5 IPS |
|
|
Image Classification (HP)
|
100% |
1706
317.2 IPS |
|
|
Image Classification (Q)
|
96% |
1289
240.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1208
19.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1195
19.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1683
27.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5858
6.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
13565
15.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11737
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1418
112.5 IPS |
|
|
Object Detection (HP)
|
97% |
1966
156.5 IPS |
|
|
Object Detection (Q)
|
94% |
1528
121.8 IPS |
|
|
Face Detection (SP)
|
100% |
2398
28.5 IPS |
|
|
Face Detection (HP)
|
100% |
4055
48.2 IPS |
|
|
Face Detection (Q)
|
100% |
2650
31.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5243
40.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
8216
63.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
6201
48.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15905
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
25135
32.3 IPS |
|
|
Style Transfer (Q)
|
96% |
21133
27.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3400
125.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4732
174.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3438
126.9 IPS |
|
|
Text Classification (SP)
|
100% |
2269
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3375
4.50 KIPS |
|
|
Text Classification (Q)
|
93% |
3354
4.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2061
35.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3199
55.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3203
55.3 IPS |
