MacBook Pro (13-inch Mid 2019)
Geekbench AI Score
731
Single Precision Score
727
Half Precision Score
370
Quantized Score
Geekbench AI 1.6.0 for macOS AVX2
Result Information
| User | brianl831 |
| Upload Date | January 10 2026 03:09 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Intel(R) Iris(TM) Plus Graphics 645 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.3 (Build 24G419) |
| 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% |
543
101.0 IPS |
|
|
Image Classification (HP)
|
100% |
448
83.3 IPS |
|
|
Image Classification (Q)
|
96% |
134
25.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
172
2.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
175
2.84 IPS |
|
|
Image Segmentation (Q)
|
99% |
129
2.09 IPS |
|
|
Pose Estimation (SP)
|
100% |
5952
6.94 IPS |
|
|
Pose Estimation (HP)
|
99% |
10082
11.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
1279
1.50 IPS |
|
|
Object Detection (SP)
|
100% |
574
45.6 IPS |
|
|
Object Detection (HP)
|
100% |
588
46.6 IPS |
|
|
Object Detection (Q)
|
94% |
147
11.7 IPS |
|
|
Face Detection (SP)
|
100% |
1793
21.3 IPS |
|
|
Face Detection (HP)
|
100% |
1565
18.6 IPS |
|
|
Face Detection (Q)
|
100% |
193
2.30 IPS |
|
|
Depth Estimation (SP)
|
100% |
998
7.69 IPS |
|
|
Depth Estimation (HP)
|
99% |
951
7.32 IPS |
|
|
Depth Estimation (Q)
|
85% |
927
7.24 IPS |
|
|
Style Transfer (SP)
|
100% |
2010
2.58 IPS |
|
|
Style Transfer (HP)
|
100% |
1974
2.54 IPS |
|
|
Style Transfer (Q)
|
96% |
1875
2.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
477
17.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
467
17.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
453
16.7 IPS |
|
|
Text Classification (SP)
|
100% |
138
183.6 IPS |
|
|
Text Classification (HP)
|
100% |
154
206.2 IPS |
|
|
Text Classification (Q)
|
93% |
237
318.5 IPS |
|
|
Machine Translation (SP)
|
100% |
583
10.0 IPS |
|
|
Machine Translation (HP)
|
100% |
420
7.23 IPS |
|
|
Machine Translation (Q)
|
98% |
418
7.23 IPS |
