MacBook Pro (15-inch Mid 2018)
Geekbench AI Score
833
Single Precision Score
108
Half Precision Score
88
Quantized Score
Geekbench AI 1.5.0-Beta1 Corporate for macOS AVX2
Result Information
| Upload Date | September 02 2025 04:57 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-8850H |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
430
79.9 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
374
6.06 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2588
3.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
794
0.93 IPS |
|
|
Pose Estimation (Q)
|
96% |
686
0.80 IPS |
|
|
Object Detection (SP)
|
100% |
451
35.8 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
849
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
666
7.91 IPS |
|
|
Face Detection (Q)
|
100% |
302
3.58 IPS |
|
|
Depth Estimation (SP)
|
100% |
1313
10.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1061
8.18 IPS |
|
|
Depth Estimation (Q)
|
85% |
679
5.31 IPS |
|
|
Style Transfer (SP)
|
100% |
3960
5.09 IPS |
|
|
Style Transfer (HP)
|
100% |
2762
3.55 IPS |
|
|
Style Transfer (Q)
|
96% |
2202
2.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1279
47.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
588
21.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
372
13.8 IPS |
|
|
Text Classification (SP)
|
100% |
464
619.3 IPS |
|
|
Text Classification (HP)
|
100% |
469
626.3 IPS |
|
|
Text Classification (Q)
|
93% |
466
625.5 IPS |
|
|
Machine Translation (SP)
|
100% |
328
5.65 IPS |
|
|
Machine Translation (HP)
|
100% |
532
9.17 IPS |
|
|
Machine Translation (Q)
|
98% |
532
9.19 IPS |
