MacBook Pro (13-inch Mid 2019)
Geekbench AI Score
503
Single Precision Score
71
Half Precision Score
58
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| User | J_F_amriyah |
| Upload Date | October 24 2025 12:58 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i5-8257U |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| 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% |
226
42.0 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
267
4.32 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
1846
2.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
378
0.44 IPS |
|
|
Pose Estimation (Q)
|
96% |
349
0.41 IPS |
|
|
Object Detection (SP)
|
100% |
233
18.5 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
649
7.71 IPS |
|
|
Face Detection (HP)
|
100% |
472
5.61 IPS |
|
|
Face Detection (Q)
|
100% |
183
2.17 IPS |
|
|
Depth Estimation (SP)
|
100% |
679
5.23 IPS |
|
|
Depth Estimation (HP)
|
99% |
516
3.98 IPS |
|
|
Depth Estimation (Q)
|
85% |
354
2.77 IPS |
|
|
Style Transfer (SP)
|
100% |
1589
2.04 IPS |
|
|
Style Transfer (HP)
|
100% |
1251
1.61 IPS |
|
|
Style Transfer (Q)
|
96% |
1078
1.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
893
33.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
286
10.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
203
7.50 IPS |
|
|
Text Classification (SP)
|
100% |
276
368.4 IPS |
|
|
Text Classification (HP)
|
100% |
286
381.1 IPS |
|
|
Text Classification (Q)
|
93% |
284
380.6 IPS |
|
|
Machine Translation (SP)
|
100% |
234
4.03 IPS |
|
|
Machine Translation (HP)
|
100% |
359
6.19 IPS |
|
|
Machine Translation (Q)
|
98% |
356
6.15 IPS |
