MacBook Pro (13-inch Mid 2019)
Geekbench AI Score
682
Single Precision Score
688
Half Precision Score
348
Quantized Score
Geekbench AI 1.6.0 for macOS AVX2
Result Information
| User | brianl831 |
| Upload Date | January 31 2026 08:20 PM |
| Views | 11 |
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% |
399
74.2 IPS |
|
|
Image Classification (HP)
|
100% |
358
66.5 IPS |
|
|
Image Classification (Q)
|
96% |
135
25.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
173
2.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
175
2.83 IPS |
|
|
Image Segmentation (Q)
|
99% |
127
2.05 IPS |
|
|
Pose Estimation (SP)
|
100% |
5953
6.95 IPS |
|
|
Pose Estimation (HP)
|
99% |
10083
11.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
1270
1.49 IPS |
|
|
Object Detection (SP)
|
100% |
574
45.5 IPS |
|
|
Object Detection (HP)
|
100% |
606
48.1 IPS |
|
|
Object Detection (Q)
|
94% |
147
11.7 IPS |
|
|
Face Detection (SP)
|
100% |
1362
16.2 IPS |
|
|
Face Detection (HP)
|
100% |
1206
14.3 IPS |
|
|
Face Detection (Q)
|
100% |
192
2.29 IPS |
|
|
Depth Estimation (SP)
|
100% |
979
7.54 IPS |
|
|
Depth Estimation (HP)
|
99% |
958
7.38 IPS |
|
|
Depth Estimation (Q)
|
85% |
930
7.27 IPS |
|
|
Style Transfer (SP)
|
100% |
1995
2.56 IPS |
|
|
Style Transfer (HP)
|
100% |
1956
2.51 IPS |
|
|
Style Transfer (Q)
|
96% |
1869
2.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
477
17.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
467
17.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
455
16.8 IPS |
|
|
Text Classification (SP)
|
100% |
131
174.8 IPS |
|
|
Text Classification (HP)
|
100% |
138
183.9 IPS |
|
|
Text Classification (Q)
|
93% |
129
173.2 IPS |
|
|
Machine Translation (SP)
|
100% |
562
9.68 IPS |
|
|
Machine Translation (HP)
|
100% |
428
7.38 IPS |
|
|
Machine Translation (Q)
|
98% |
427
7.38 IPS |
