MacBook Pro (13-inch Mid 2019)
Geekbench AI Score
757
Single Precision Score
616
Half Precision Score
443
Quantized Score
Geekbench AI 1.4.0 for macOS AVX2
Result Information
| User | eli1stark |
| Upload Date | July 06 2025 06:40 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-8557U |
| System Information | |
|---|---|
| Operating System | macOS 14.7.6 (Build 23H626) |
| Model | MacBook Pro (13-inch Mid 2019) |
| Model ID | MacBookPro15,4 |
| Motherboard | Apple Inc. Mac-53FDB3D8DB8CA971 MacBookPro15,4 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8557U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 1.70 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)
|
100% |
236
43.8 IPS |
|
|
Image Classification (Q)
|
96% |
150
28.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
355
5.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
247
4.01 IPS |
|
|
Image Segmentation (Q)
|
99% |
220
3.57 IPS |
|
|
Pose Estimation (SP)
|
100% |
2613
3.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
1528
1.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
1218
1.43 IPS |
|
|
Object Detection (SP)
|
100% |
303
24.1 IPS |
|
|
Object Detection (HP)
|
100% |
255
20.2 IPS |
|
|
Object Detection (Q)
|
92% |
173
13.8 IPS |
|
|
Face Detection (SP)
|
100% |
871
10.3 IPS |
|
|
Face Detection (HP)
|
100% |
726
8.63 IPS |
|
|
Face Detection (Q)
|
100% |
318
3.78 IPS |
|
|
Depth Estimation (SP)
|
100% |
1106
8.52 IPS |
|
|
Depth Estimation (HP)
|
99% |
913
7.03 IPS |
|
|
Depth Estimation (Q)
|
86% |
630
4.92 IPS |
|
|
Style Transfer (SP)
|
100% |
3134
4.03 IPS |
|
|
Style Transfer (HP)
|
100% |
2568
3.30 IPS |
|
|
Style Transfer (Q)
|
96% |
2006
2.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1537
56.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
949
35.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
483
17.8 IPS |
|
|
Text Classification (SP)
|
100% |
454
606.6 IPS |
|
|
Text Classification (HP)
|
100% |
443
591.0 IPS |
|
|
Text Classification (Q)
|
93% |
444
596.0 IPS |
|
|
Machine Translation (SP)
|
100% |
333
5.74 IPS |
|
|
Machine Translation (HP)
|
100% |
491
8.45 IPS |
|
|
Machine Translation (Q)
|
98% |
494
8.53 IPS |
