MacBook Pro (15-inch Mid 2018)
Geekbench AI Score
1303
Single Precision Score
1226
Half Precision Score
605
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| Upload Date | November 13 2025 11:17 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 560X |
| System Information | |
|---|---|
| Operating System | macOS 15.7.2 (Build 24G325) |
| 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% |
441
82.0 IPS |
|
|
Image Classification (HP)
|
100% |
482
89.7 IPS |
|
|
Image Classification (Q)
|
96% |
137
25.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
183
2.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
182
2.96 IPS |
|
|
Image Segmentation (Q)
|
99% |
124
2.01 IPS |
|
|
Pose Estimation (SP)
|
100% |
7130
8.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
6355
7.41 IPS |
|
|
Pose Estimation (Q)
|
96% |
1737
2.04 IPS |
|
|
Object Detection (SP)
|
100% |
1247
98.9 IPS |
|
|
Object Detection (HP)
|
100% |
939
74.5 IPS |
|
|
Object Detection (Q)
|
92% |
140
11.1 IPS |
|
|
Face Detection (SP)
|
100% |
4234
50.3 IPS |
|
|
Face Detection (HP)
|
100% |
4770
56.7 IPS |
|
|
Face Detection (Q)
|
100% |
174
2.06 IPS |
|
|
Depth Estimation (SP)
|
100% |
5915
45.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4436
34.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
4109
32.1 IPS |
|
|
Style Transfer (SP)
|
100% |
14320
18.4 IPS |
|
|
Style Transfer (HP)
|
100% |
13590
17.5 IPS |
|
|
Style Transfer (Q)
|
96% |
15654
20.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2639
97.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2244
82.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1896
70.0 IPS |
|
|
Text Classification (SP)
|
100% |
80
106.6 IPS |
|
|
Text Classification (HP)
|
100% |
90
120.8 IPS |
|
|
Text Classification (Q)
|
93% |
303
407.0 IPS |
|
|
Machine Translation (SP)
|
100% |
261
4.50 IPS |
|
|
Machine Translation (HP)
|
100% |
253
4.35 IPS |
|
|
Machine Translation (Q)
|
98% |
249
4.30 IPS |
