MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3211
Single Precision Score
13752
Half Precision Score
14116
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Hais |
| Upload Date | November 12 2024 11:11 PM |
| Views | 15 |
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 | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1394
259.3 IPS |
|
|
Image Classification (HP)
|
100% |
6362
1.18 KIPS |
|
|
Image Classification (Q)
|
99% |
6528
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1392
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6196
100.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
6201
100.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6420
7.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
68132
79.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
66178
77.6 IPS |
|
|
Object Detection (SP)
|
100% |
1512
119.9 IPS |
|
|
Object Detection (HP)
|
99% |
7054
561.2 IPS |
|
|
Object Detection (Q)
|
91% |
6776
541.4 IPS |
|
|
Face Detection (SP)
|
100% |
2922
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
11554
137.3 IPS |
|
|
Face Detection (Q)
|
100% |
13687
162.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5781
44.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
43976
338.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
47092
364.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16800
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
119574
153.7 IPS |
|
|
Style Transfer (Q)
|
100% |
124033
159.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3789
139.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23387
863.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
24155
894.9 IPS |
|
|
Text Classification (SP)
|
100% |
2289
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3898
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3889
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2519
43.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2307
39.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2305
39.8 IPS |
