MacBook Pro (13-inch Mid 2019)
Geekbench AI Score
738
Single Precision Score
91
Half Precision Score
75
Quantized Score
Geekbench AI 1.4.0 for macOS AVX2
Result Information
| User | Egon2016 |
| Upload Date | August 05 2025 08:25 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i5-8257U |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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% |
316
58.8 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
380
6.17 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2506
2.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
492
0.57 IPS |
|
|
Pose Estimation (Q)
|
96% |
465
0.54 IPS |
|
|
Object Detection (SP)
|
100% |
313
24.8 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
898
10.7 IPS |
|
|
Face Detection (HP)
|
100% |
700
8.32 IPS |
|
|
Face Detection (Q)
|
100% |
295
3.51 IPS |
|
|
Depth Estimation (SP)
|
100% |
1091
8.41 IPS |
|
|
Depth Estimation (HP)
|
99% |
779
6.00 IPS |
|
|
Depth Estimation (Q)
|
85% |
536
4.20 IPS |
|
|
Style Transfer (SP)
|
100% |
3109
4.00 IPS |
|
|
Style Transfer (HP)
|
100% |
1890
2.43 IPS |
|
|
Style Transfer (Q)
|
96% |
1548
2.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1332
49.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
405
15.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
284
10.5 IPS |
|
|
Text Classification (SP)
|
100% |
403
537.7 IPS |
|
|
Text Classification (HP)
|
100% |
404
539.8 IPS |
|
|
Text Classification (Q)
|
93% |
404
542.9 IPS |
|
|
Machine Translation (SP)
|
100% |
315
5.42 IPS |
|
|
Machine Translation (HP)
|
100% |
496
8.55 IPS |
|
|
Machine Translation (Q)
|
98% |
473
8.17 IPS |
