MacBook Pro (15-inch Mid 2018)
Geekbench AI Score
703
Single Precision Score
582
Half Precision Score
416
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| User | eduardoteles17 |
| Upload Date | December 10 2025 01:47 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-8750H |
| System Information | |
|---|---|
| Operating System | macOS 14.7.6 (Build 23H626) |
| Model | MacBook Pro (15-inch Mid 2018) |
| Model ID | MacBookPro15,1 |
| Motherboard | Apple Inc. Mac-937A206F2EE63C01 MacBookPro15,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.20 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% |
354
65.8 IPS |
|
|
Image Classification (HP)
|
100% |
267
49.6 IPS |
|
|
Image Classification (Q)
|
96% |
156
29.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
318
5.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
230
3.74 IPS |
|
|
Image Segmentation (Q)
|
99% |
205
3.32 IPS |
|
|
Pose Estimation (SP)
|
100% |
2317
2.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
1507
1.76 IPS |
|
|
Pose Estimation (Q)
|
96% |
1194
1.40 IPS |
|
|
Object Detection (SP)
|
100% |
321
25.5 IPS |
|
|
Object Detection (HP)
|
100% |
210
16.7 IPS |
|
|
Object Detection (Q)
|
92% |
149
11.9 IPS |
|
|
Face Detection (SP)
|
100% |
716
8.50 IPS |
|
|
Face Detection (HP)
|
100% |
549
6.53 IPS |
|
|
Face Detection (Q)
|
100% |
271
3.22 IPS |
|
|
Depth Estimation (SP)
|
100% |
989
7.62 IPS |
|
|
Depth Estimation (HP)
|
99% |
796
6.14 IPS |
|
|
Depth Estimation (Q)
|
86% |
591
4.61 IPS |
|
|
Style Transfer (SP)
|
100% |
3075
3.95 IPS |
|
|
Style Transfer (HP)
|
100% |
2758
3.55 IPS |
|
|
Style Transfer (Q)
|
96% |
2061
2.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1334
49.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1030
38.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
474
17.5 IPS |
|
|
Text Classification (SP)
|
100% |
390
520.6 IPS |
|
|
Text Classification (HP)
|
100% |
388
518.0 IPS |
|
|
Text Classification (Q)
|
93% |
375
503.4 IPS |
|
|
Machine Translation (SP)
|
100% |
314
5.40 IPS |
|
|
Machine Translation (HP)
|
100% |
477
8.21 IPS |
|
|
Machine Translation (Q)
|
98% |
473
8.17 IPS |
