MacBook Pro (13-inch Mid 2020)
Geekbench AI Score
691
Single Precision Score
701
Half Precision Score
414
Quantized Score
Geekbench AI 1.0.0 for macOS AVX2
Result Information
| User | jaketbeverage |
| Upload Date | August 15 2024 06:32 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Intel(R) Iris(TM) Plus Graphics 645 |
| 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% |
442
82.3 IPS |
|
|
Image Classification (HP)
|
100% |
395
73.4 IPS |
|
|
Image Classification (Q)
|
99% |
356
66.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
176
2.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
183
2.97 IPS |
|
|
Image Segmentation (Q)
|
100% |
188
3.05 IPS |
|
|
Pose Estimation (SP)
|
100% |
5994
6.99 IPS |
|
|
Pose Estimation (HP)
|
99% |
10054
11.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
1195
1.40 IPS |
|
|
Object Detection (SP)
|
100% |
570
45.2 IPS |
|
|
Object Detection (HP)
|
100% |
567
45.0 IPS |
|
|
Object Detection (Q)
|
94% |
147
11.8 IPS |
|
|
Face Detection (SP)
|
100% |
1394
16.6 IPS |
|
|
Face Detection (HP)
|
100% |
1354
16.1 IPS |
|
|
Face Detection (Q)
|
100% |
194
2.31 IPS |
|
|
Depth Estimation (SP)
|
100% |
985
7.59 IPS |
|
|
Depth Estimation (HP)
|
99% |
953
7.34 IPS |
|
|
Depth Estimation (Q)
|
97% |
952
7.36 IPS |
|
|
Style Transfer (SP)
|
100% |
1970
2.53 IPS |
|
|
Style Transfer (HP)
|
100% |
1950
2.51 IPS |
|
|
Style Transfer (Q)
|
100% |
1940
2.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
469
17.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
457
16.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
441
16.4 IPS |
|
|
Text Classification (SP)
|
98% |
132
177.1 IPS |
|
|
Text Classification (HP)
|
98% |
134
179.6 IPS |
|
|
Text Classification (Q)
|
89% |
180
241.8 IPS |
|
|
Machine Translation (SP)
|
100% |
564
9.71 IPS |
|
|
Machine Translation (HP)
|
100% |
452
7.79 IPS |
|
|
Machine Translation (Q)
|
98% |
447
7.73 IPS |
