MacBook Pro (15-inch Mid 2018)
Geekbench AI Score
716
Single Precision Score
96
Half Precision Score
77
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| Upload Date | November 13 2025 12:24 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-8850H |
| System Information | |
|---|---|
| Operating System | macOS 15.7.2 (Build 24G325) |
| Model | MacBook Pro (15-inch Mid 2018) |
| Model ID | MacBookPro15,1 |
| Motherboard | Apple Inc. Mac-937A206F2EE63C01 MacBookPro15,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8850H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Transfer Rate | 2400 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
364
67.7 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
329
5.33 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2130
2.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
507
0.59 IPS |
|
|
Pose Estimation (Q)
|
96% |
471
0.55 IPS |
|
|
Object Detection (SP)
|
100% |
381
30.2 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
723
8.59 IPS |
|
|
Face Detection (HP)
|
100% |
565
6.71 IPS |
|
|
Face Detection (Q)
|
100% |
252
2.99 IPS |
|
|
Depth Estimation (SP)
|
100% |
1162
8.96 IPS |
|
|
Depth Estimation (HP)
|
99% |
960
7.40 IPS |
|
|
Depth Estimation (Q)
|
85% |
594
4.64 IPS |
|
|
Style Transfer (SP)
|
100% |
3362
4.32 IPS |
|
|
Style Transfer (HP)
|
100% |
2435
3.13 IPS |
|
|
Style Transfer (Q)
|
96% |
1831
2.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1146
42.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
522
19.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
337
12.4 IPS |
|
|
Text Classification (SP)
|
100% |
406
541.3 IPS |
|
|
Text Classification (HP)
|
100% |
433
577.7 IPS |
|
|
Text Classification (Q)
|
93% |
429
576.3 IPS |
|
|
Machine Translation (SP)
|
100% |
279
4.81 IPS |
|
|
Machine Translation (HP)
|
100% |
449
7.73 IPS |
|
|
Machine Translation (Q)
|
98% |
445
7.69 IPS |
