MacBook Pro (13-inch Mid 2019)
Geekbench AI Score
712
Single Precision Score
85
Half Precision Score
71
Quantized Score
Geekbench AI 1.3.0 for macOS AVX2
Result Information
| Upload Date | June 29 2025 01:25 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i5-8257U |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
309
57.5 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
371
6.01 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2535
2.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
452
0.53 IPS |
|
|
Pose Estimation (Q)
|
96% |
393
0.46 IPS |
|
|
Object Detection (SP)
|
100% |
293
23.3 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
888
10.5 IPS |
|
|
Face Detection (HP)
|
100% |
657
7.81 IPS |
|
|
Face Detection (Q)
|
100% |
291
3.46 IPS |
|
|
Depth Estimation (SP)
|
100% |
1023
7.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
671
5.17 IPS |
|
|
Depth Estimation (Q)
|
85% |
500
3.91 IPS |
|
|
Style Transfer (SP)
|
100% |
2831
3.64 IPS |
|
|
Style Transfer (HP)
|
100% |
1585
2.04 IPS |
|
|
Style Transfer (Q)
|
96% |
1348
1.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1297
47.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
365
13.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
248
9.17 IPS |
|
|
Text Classification (SP)
|
100% |
391
521.8 IPS |
|
|
Text Classification (HP)
|
100% |
401
534.8 IPS |
|
|
Text Classification (Q)
|
93% |
404
541.5 IPS |
|
|
Machine Translation (SP)
|
100% |
303
5.21 IPS |
|
|
Machine Translation (HP)
|
100% |
472
8.13 IPS |
|
|
Machine Translation (Q)
|
98% |
431
7.45 IPS |
