MacBook Pro (13-inch Mid 2020)
Geekbench AI Score
686
Single Precision Score
566
Half Precision Score
457
Quantized Score
Geekbench AI 1.0.0 for macOS AVX2
Result Information
| User | jaketbeverage |
| Upload Date | August 15 2024 06:18 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i5-8257U |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (13-inch Mid 2020) |
| Model ID | MacBookPro16,3 |
| Motherboard | Apple Inc. Mac-E7203C0F68AA0004 MacBookPro16,3 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8257U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Transfer Rate | 2133 MT/s |
| Type | LPDDR3 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
298
55.5 IPS |
|
|
Image Classification (HP)
|
100% |
231
42.9 IPS |
|
|
Image Classification (Q)
|
99% |
229
42.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
321
5.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
218
3.53 IPS |
|
|
Image Segmentation (Q)
|
100% |
212
3.44 IPS |
|
|
Pose Estimation (SP)
|
100% |
2130
2.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
1342
1.57 IPS |
|
|
Pose Estimation (Q)
|
95% |
1118
1.31 IPS |
|
|
Object Detection (SP)
|
100% |
298
23.6 IPS |
|
|
Object Detection (HP)
|
100% |
244
19.4 IPS |
|
|
Object Detection (Q)
|
92% |
161
12.8 IPS |
|
|
Face Detection (SP)
|
100% |
810
9.62 IPS |
|
|
Face Detection (HP)
|
100% |
671
7.98 IPS |
|
|
Face Detection (Q)
|
100% |
282
3.35 IPS |
|
|
Depth Estimation (SP)
|
100% |
1011
7.79 IPS |
|
|
Depth Estimation (HP)
|
99% |
814
6.27 IPS |
|
|
Depth Estimation (Q)
|
97% |
915
7.07 IPS |
|
|
Style Transfer (SP)
|
100% |
2888
3.71 IPS |
|
|
Style Transfer (HP)
|
100% |
2390
3.07 IPS |
|
|
Style Transfer (Q)
|
100% |
2253
2.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1252
46.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
835
30.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
429
15.9 IPS |
|
|
Text Classification (SP)
|
100% |
398
531.2 IPS |
|
|
Text Classification (HP)
|
100% |
403
537.5 IPS |
|
|
Text Classification (Q)
|
93% |
401
538.3 IPS |
|
|
Machine Translation (SP)
|
100% |
324
5.59 IPS |
|
|
Machine Translation (HP)
|
100% |
467
8.04 IPS |
|
|
Machine Translation (Q)
|
98% |
458
7.91 IPS |
