MacBook Pro (15-inch Mid 2018)
Geekbench AI Score
788
Single Precision Score
696
Half Precision Score
469
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | mellito |
| Upload Date | October 15 2024 06:30 PM |
| Views | 8 |
| Notes | On charge |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-8850H |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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% |
404
75.1 IPS |
|
|
Image Classification (HP)
|
100% |
294
54.6 IPS |
|
|
Image Classification (Q)
|
96% |
168
31.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
327
5.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
261
4.23 IPS |
|
|
Image Segmentation (Q)
|
99% |
224
3.64 IPS |
|
|
Pose Estimation (SP)
|
100% |
2527
2.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
1839
2.15 IPS |
|
|
Pose Estimation (Q)
|
96% |
1411
1.65 IPS |
|
|
Object Detection (SP)
|
100% |
394
31.2 IPS |
|
|
Object Detection (HP)
|
100% |
321
25.5 IPS |
|
|
Object Detection (Q)
|
92% |
186
14.8 IPS |
|
|
Face Detection (SP)
|
100% |
738
8.77 IPS |
|
|
Face Detection (HP)
|
100% |
628
7.46 IPS |
|
|
Face Detection (Q)
|
100% |
287
3.41 IPS |
|
|
Depth Estimation (SP)
|
100% |
1200
9.24 IPS |
|
|
Depth Estimation (HP)
|
99% |
976
7.52 IPS |
|
|
Depth Estimation (Q)
|
86% |
659
5.14 IPS |
|
|
Style Transfer (SP)
|
100% |
3953
5.08 IPS |
|
|
Style Transfer (HP)
|
100% |
3771
4.85 IPS |
|
|
Style Transfer (Q)
|
96% |
2566
3.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1442
53.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1156
42.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
504
18.6 IPS |
|
|
Text Classification (SP)
|
100% |
461
615.3 IPS |
|
|
Text Classification (HP)
|
100% |
454
605.4 IPS |
|
|
Text Classification (Q)
|
93% |
448
600.6 IPS |
|
|
Machine Translation (SP)
|
100% |
305
5.25 IPS |
|
|
Machine Translation (HP)
|
100% |
488
8.40 IPS |
|
|
Machine Translation (Q)
|
98% |
485
8.39 IPS |
