MacBook Pro (15-inch Mid 2018)
Geekbench AI Score
792
Single Precision Score
103
Half Precision Score
84
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| User | aektann |
| Upload Date | November 02 2025 12:38 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-8850H |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| 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 | 32.00 GB |
| Transfer Rate | 2400 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
400
74.4 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
356
5.77 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2413
2.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
676
0.79 IPS |
|
|
Pose Estimation (Q)
|
96% |
620
0.73 IPS |
|
|
Object Detection (SP)
|
100% |
427
33.8 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
882
10.5 IPS |
|
|
Face Detection (HP)
|
100% |
709
8.43 IPS |
|
|
Face Detection (Q)
|
100% |
313
3.72 IPS |
|
|
Depth Estimation (SP)
|
100% |
1277
9.84 IPS |
|
|
Depth Estimation (HP)
|
99% |
1026
7.90 IPS |
|
|
Depth Estimation (Q)
|
85% |
677
5.29 IPS |
|
|
Style Transfer (SP)
|
100% |
3386
4.35 IPS |
|
|
Style Transfer (HP)
|
100% |
2619
3.37 IPS |
|
|
Style Transfer (Q)
|
96% |
2121
2.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1368
50.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
506
18.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
326
12.0 IPS |
|
|
Text Classification (SP)
|
100% |
406
542.1 IPS |
|
|
Text Classification (HP)
|
100% |
437
582.6 IPS |
|
|
Text Classification (Q)
|
93% |
426
571.3 IPS |
|
|
Machine Translation (SP)
|
100% |
315
5.42 IPS |
|
|
Machine Translation (HP)
|
100% |
488
8.40 IPS |
|
|
Machine Translation (Q)
|
98% |
487
8.42 IPS |
