MacBook Pro (13-inch Mid 2019)
Geekbench AI Score
678
Single Precision Score
671
Half Precision Score
169
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| Upload Date | December 21 2024 10:07 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Intel(R) Iris(TM) Plus Graphics 645 |
| System Information | |
|---|---|
| Operating System | macOS 14.2 (Build 23C64) |
| Model | MacBook Pro (13-inch Mid 2019) |
| Model ID | MacBookPro15,4 |
| Motherboard | Apple Inc. Mac-53FDB3D8DB8CA971 MacBookPro15,4 |
| 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% |
523
97.2 IPS |
|
|
Image Classification (HP)
|
100% |
406
75.4 IPS |
|
|
Image Classification (Q)
|
96% |
119
22.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
171
2.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
172
2.79 IPS |
|
|
Image Segmentation (Q)
|
99% |
122
1.98 IPS |
|
|
Pose Estimation (SP)
|
100% |
5963
6.96 IPS |
|
|
Pose Estimation (HP)
|
99% |
9893
11.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
1152
1.35 IPS |
|
|
Object Detection (SP)
|
100% |
548
43.5 IPS |
|
|
Object Detection (HP)
|
100% |
590
46.8 IPS |
|
|
Object Detection (Q)
|
94% |
135
10.8 IPS |
|
|
Face Detection (SP)
|
100% |
1508
17.9 IPS |
|
|
Face Detection (HP)
|
100% |
1069
12.7 IPS |
|
|
Face Detection (Q)
|
100% |
176
2.09 IPS |
|
|
Depth Estimation (SP)
|
100% |
946
7.29 IPS |
|
|
Depth Estimation (HP)
|
99% |
934
7.20 IPS |
|
|
Depth Estimation (Q)
|
0% |
0
6.63 IPS |
|
|
Style Transfer (SP)
|
100% |
1989
2.56 IPS |
|
|
Style Transfer (HP)
|
100% |
1955
2.51 IPS |
|
|
Style Transfer (Q)
|
96% |
1867
2.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
458
16.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
455
16.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
430
15.9 IPS |
|
|
Text Classification (SP)
|
99% |
126
168.1 IPS |
|
|
Text Classification (HP)
|
99% |
126
168.8 IPS |
|
|
Text Classification (Q)
|
93% |
152
204.5 IPS |
|
|
Machine Translation (SP)
|
100% |
435
7.49 IPS |
|
|
Machine Translation (HP)
|
100% |
411
7.08 IPS |
|
|
Machine Translation (Q)
|
98% |
402
6.94 IPS |
