MacBook Pro (15-inch Mid 2018)
Geekbench AI Score
834
Single Precision Score
108
Half Precision Score
88
Quantized Score
Geekbench AI 1.6.0 Corporate for macOS AVX2
Result Information
| Upload Date | December 02 2025 08:11 PM |
| Views | 1 |
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% |
376
6.09 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2591
3.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
782
0.91 IPS |
|
|
Pose Estimation (Q)
|
96% |
698
0.82 IPS |
|
|
Object Detection (SP)
|
100% |
455
36.1 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
839
9.97 IPS |
|
|
Face Detection (HP)
|
100% |
662
7.87 IPS |
|
|
Face Detection (Q)
|
100% |
302
3.58 IPS |
|
|
Depth Estimation (SP)
|
100% |
1332
10.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1064
8.20 IPS |
|
|
Depth Estimation (Q)
|
85% |
681
5.32 IPS |
|
|
Style Transfer (SP)
|
100% |
3978
5.11 IPS |
|
|
Style Transfer (HP)
|
100% |
2764
3.55 IPS |
|
|
Style Transfer (Q)
|
96% |
2211
2.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1273
47.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
591
21.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
373
13.8 IPS |
|
|
Text Classification (SP)
|
100% |
468
624.6 IPS |
|
|
Text Classification (HP)
|
100% |
464
619.7 IPS |
|
|
Text Classification (Q)
|
93% |
463
621.2 IPS |
|
|
Machine Translation (SP)
|
100% |
327
5.64 IPS |
|
|
Machine Translation (HP)
|
100% |
532
9.17 IPS |
|
|
Machine Translation (Q)
|
98% |
530
9.16 IPS |
