MacBook Pro (15-inch Mid 2018)
Geekbench AI Score
648
Single Precision Score
91
Half Precision Score
75
Quantized Score
Geekbench AI 1.6.0 for macOS AVX2
Result Information
| User | arobasefr |
| Upload Date | December 21 2025 02:20 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-8750H |
| System Information | |
|---|---|
| Operating System | macOS 15.7.3 (Build 24G419) |
| 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% |
406
75.5 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
368
5.97 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
1632
1.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
583
0.68 IPS |
|
|
Pose Estimation (Q)
|
96% |
546
0.64 IPS |
|
|
Object Detection (SP)
|
100% |
384
30.5 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
740
8.79 IPS |
|
|
Face Detection (HP)
|
100% |
636
7.56 IPS |
|
|
Face Detection (Q)
|
100% |
290
3.44 IPS |
|
|
Depth Estimation (SP)
|
100% |
1117
8.61 IPS |
|
|
Depth Estimation (HP)
|
99% |
955
7.36 IPS |
|
|
Depth Estimation (Q)
|
85% |
599
4.69 IPS |
|
|
Style Transfer (SP)
|
100% |
2055
2.64 IPS |
|
|
Style Transfer (HP)
|
100% |
1827
2.35 IPS |
|
|
Style Transfer (Q)
|
96% |
1484
1.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
816
30.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
376
13.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
254
9.39 IPS |
|
|
Text Classification (SP)
|
100% |
330
440.7 IPS |
|
|
Text Classification (HP)
|
100% |
363
484.2 IPS |
|
|
Text Classification (Q)
|
93% |
370
496.8 IPS |
|
|
Machine Translation (SP)
|
100% |
308
5.30 IPS |
|
|
Machine Translation (HP)
|
100% |
475
8.18 IPS |
|
|
Machine Translation (Q)
|
98% |
468
8.08 IPS |
