MacBook Pro (13-inch Mid 2019)
Geekbench AI Score
726
Single Precision Score
90
Half Precision Score
75
Quantized Score
Geekbench AI 1.6.0 for macOS AVX2
Result Information
| User | brianl831 |
| Upload Date | January 10 2026 03:01 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i5-8257U |
| 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% |
317
58.9 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
377
6.11 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2503
2.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
481
0.56 IPS |
|
|
Pose Estimation (Q)
|
96% |
444
0.52 IPS |
|
|
Object Detection (SP)
|
100% |
318
25.2 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
889
10.6 IPS |
|
|
Face Detection (HP)
|
100% |
696
8.28 IPS |
|
|
Face Detection (Q)
|
100% |
297
3.53 IPS |
|
|
Depth Estimation (SP)
|
100% |
1057
8.14 IPS |
|
|
Depth Estimation (HP)
|
99% |
775
5.97 IPS |
|
|
Depth Estimation (Q)
|
85% |
532
4.16 IPS |
|
|
Style Transfer (SP)
|
100% |
2892
3.72 IPS |
|
|
Style Transfer (HP)
|
100% |
1780
2.29 IPS |
|
|
Style Transfer (Q)
|
96% |
1514
1.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1242
45.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
403
14.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
283
10.5 IPS |
|
|
Text Classification (SP)
|
100% |
389
518.8 IPS |
|
|
Text Classification (HP)
|
100% |
391
522.1 IPS |
|
|
Text Classification (Q)
|
93% |
397
532.9 IPS |
|
|
Machine Translation (SP)
|
100% |
327
5.64 IPS |
|
|
Machine Translation (HP)
|
100% |
483
8.33 IPS |
|
|
Machine Translation (Q)
|
98% |
485
8.38 IPS |
