MacBook Pro (13-inch Mid 2019)
Geekbench AI Score
679
Single Precision Score
688
Half Precision Score
350
Quantized Score
Geekbench AI 1.3.0 for macOS AVX2
Result Information
| Upload Date | June 29 2025 01:41 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Intel(R) Iris(TM) Plus Graphics 645 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 16.00 GB |
| Transfer Rate | 2133 MT/s |
| Type | LPDDR3 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
389
72.3 IPS |
|
|
Image Classification (HP)
|
100% |
337
62.6 IPS |
|
|
Image Classification (Q)
|
96% |
132
24.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
182
2.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
237
3.83 IPS |
|
|
Image Segmentation (Q)
|
99% |
136
2.21 IPS |
|
|
Pose Estimation (SP)
|
100% |
5840
6.81 IPS |
|
|
Pose Estimation (HP)
|
99% |
9628
11.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
1238
1.45 IPS |
|
|
Object Detection (SP)
|
100% |
545
43.2 IPS |
|
|
Object Detection (HP)
|
100% |
546
43.3 IPS |
|
|
Object Detection (Q)
|
94% |
144
11.5 IPS |
|
|
Face Detection (SP)
|
100% |
1303
15.5 IPS |
|
|
Face Detection (HP)
|
100% |
1160
13.8 IPS |
|
|
Face Detection (Q)
|
100% |
194
2.31 IPS |
|
|
Depth Estimation (SP)
|
100% |
993
7.65 IPS |
|
|
Depth Estimation (HP)
|
99% |
961
7.40 IPS |
|
|
Depth Estimation (Q)
|
85% |
923
7.22 IPS |
|
|
Style Transfer (SP)
|
100% |
1990
2.56 IPS |
|
|
Style Transfer (HP)
|
100% |
1959
2.52 IPS |
|
|
Style Transfer (Q)
|
96% |
1861
2.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
447
16.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
442
16.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
452
16.7 IPS |
|
|
Text Classification (SP)
|
100% |
145
194.0 IPS |
|
|
Text Classification (HP)
|
100% |
137
183.5 IPS |
|
|
Text Classification (Q)
|
93% |
135
180.8 IPS |
|
|
Machine Translation (SP)
|
100% |
558
9.62 IPS |
|
|
Machine Translation (HP)
|
100% |
428
7.37 IPS |
|
|
Machine Translation (Q)
|
98% |
425
7.34 IPS |
