MacBook Pro (15-inch Mid 2018)
Geekbench AI Score
764
Single Precision Score
652
Half Precision Score
471
Quantized Score
Geekbench AI 1.4.0 for macOS AVX2
Result Information
| User | miyakesan |
| Upload Date | July 18 2025 09:18 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-8950HK |
| 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 i9-8950HK |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Transfer Rate | 2400 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
406
75.5 IPS |
|
|
Image Classification (HP)
|
100% |
299
55.5 IPS |
|
|
Image Classification (Q)
|
96% |
176
32.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
361
5.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
287
4.66 IPS |
|
|
Image Segmentation (Q)
|
99% |
251
4.07 IPS |
|
|
Pose Estimation (SP)
|
100% |
2389
2.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
1950
2.28 IPS |
|
|
Pose Estimation (Q)
|
96% |
1531
1.79 IPS |
|
|
Object Detection (SP)
|
100% |
392
31.1 IPS |
|
|
Object Detection (HP)
|
100% |
319
25.3 IPS |
|
|
Object Detection (Q)
|
92% |
200
16.0 IPS |
|
|
Face Detection (SP)
|
100% |
739
8.78 IPS |
|
|
Face Detection (HP)
|
100% |
655
7.79 IPS |
|
|
Face Detection (Q)
|
100% |
299
3.55 IPS |
|
|
Depth Estimation (SP)
|
100% |
1144
8.81 IPS |
|
|
Depth Estimation (HP)
|
99% |
917
7.06 IPS |
|
|
Depth Estimation (Q)
|
86% |
612
4.78 IPS |
|
|
Style Transfer (SP)
|
100% |
3284
4.22 IPS |
|
|
Style Transfer (HP)
|
100% |
3278
4.21 IPS |
|
|
Style Transfer (Q)
|
96% |
2540
3.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1124
41.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
530
19.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
342
12.6 IPS |
|
|
Text Classification (SP)
|
100% |
477
636.1 IPS |
|
|
Text Classification (HP)
|
100% |
478
637.7 IPS |
|
|
Text Classification (Q)
|
93% |
481
645.2 IPS |
|
|
Machine Translation (SP)
|
100% |
333
5.74 IPS |
|
|
Machine Translation (HP)
|
100% |
527
9.08 IPS |
|
|
Machine Translation (Q)
|
98% |
527
9.10 IPS |
