MacBook Pro (15-inch Mid 2018)
Geekbench AI Score
823
Single Precision Score
103
Half Precision Score
83
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| Upload Date | November 13 2025 09:54 AM |
| Views | 3 |
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% |
432
80.4 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
373
6.04 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2622
3.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
751
0.88 IPS |
|
|
Pose Estimation (Q)
|
96% |
583
0.68 IPS |
|
|
Object Detection (SP)
|
100% |
402
31.9 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
859
10.2 IPS |
|
|
Face Detection (HP)
|
100% |
659
7.83 IPS |
|
|
Face Detection (Q)
|
100% |
297
3.53 IPS |
|
|
Depth Estimation (SP)
|
100% |
1334
10.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
992
7.64 IPS |
|
|
Depth Estimation (Q)
|
85% |
637
4.98 IPS |
|
|
Style Transfer (SP)
|
100% |
3769
4.85 IPS |
|
|
Style Transfer (HP)
|
100% |
2438
3.13 IPS |
|
|
Style Transfer (Q)
|
96% |
1955
2.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1385
51.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
536
19.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
344
12.7 IPS |
|
|
Text Classification (SP)
|
100% |
429
572.9 IPS |
|
|
Text Classification (HP)
|
100% |
423
564.8 IPS |
|
|
Text Classification (Q)
|
93% |
444
595.6 IPS |
|
|
Machine Translation (SP)
|
100% |
331
5.71 IPS |
|
|
Machine Translation (HP)
|
100% |
531
9.14 IPS |
|
|
Machine Translation (Q)
|
98% |
530
9.16 IPS |
