MacBook Pro (15-inch Mid 2018)
Geekbench AI Score
834
Single Precision Score
108
Half Precision Score
88
Quantized Score
Geekbench AI 1.7.0 Corporate for macOS AVX2
Result Information
| Upload Date | February 11 2026 06:50 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-8850H |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
429
79.8 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
375
6.07 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2577
3.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
794
0.93 IPS |
|
|
Pose Estimation (Q)
|
96% |
689
0.81 IPS |
|
|
Object Detection (SP)
|
100% |
453
35.9 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
844
10.0 IPS |
|
|
Face Detection (HP)
|
100% |
666
7.92 IPS |
|
|
Face Detection (Q)
|
100% |
300
3.57 IPS |
|
|
Depth Estimation (SP)
|
100% |
1332
10.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1065
8.21 IPS |
|
|
Depth Estimation (Q)
|
85% |
681
5.33 IPS |
|
|
Style Transfer (SP)
|
100% |
3998
5.14 IPS |
|
|
Style Transfer (HP)
|
100% |
2807
3.61 IPS |
|
|
Style Transfer (Q)
|
96% |
2196
2.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1277
47.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
594
21.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
374
13.8 IPS |
|
|
Text Classification (SP)
|
100% |
463
617.8 IPS |
|
|
Text Classification (HP)
|
100% |
463
618.1 IPS |
|
|
Text Classification (Q)
|
93% |
460
617.0 IPS |
|
|
Machine Translation (SP)
|
100% |
328
5.65 IPS |
|
|
Machine Translation (HP)
|
100% |
530
9.13 IPS |
|
|
Machine Translation (Q)
|
98% |
530
9.16 IPS |
