MacBook Pro (15-inch Mid 2018)
Geekbench AI Score
1359
Single Precision Score
1242
Half Precision Score
687
Quantized Score
Geekbench AI 1.0.0 Corporate for macOS AVX2
Result Information
| Upload Date | August 11 2024 08:41 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 560X |
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| 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% |
419
77.9 IPS |
|
|
Image Classification (HP)
|
100% |
473
88.0 IPS |
|
|
Image Classification (Q)
|
99% |
821
153.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
191
3.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
312
5.06 IPS |
|
|
Image Segmentation (Q)
|
100% |
311
5.03 IPS |
|
|
Pose Estimation (SP)
|
100% |
7187
8.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
6103
7.12 IPS |
|
|
Pose Estimation (Q)
|
96% |
1657
1.94 IPS |
|
|
Object Detection (SP)
|
100% |
1248
99.0 IPS |
|
|
Object Detection (HP)
|
100% |
886
70.3 IPS |
|
|
Object Detection (Q)
|
92% |
139
11.1 IPS |
|
|
Face Detection (SP)
|
100% |
4460
53.0 IPS |
|
|
Face Detection (HP)
|
100% |
4843
57.5 IPS |
|
|
Face Detection (Q)
|
100% |
174
2.07 IPS |
|
|
Depth Estimation (SP)
|
100% |
5909
45.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4190
32.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
4173
32.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14377
18.5 IPS |
|
|
Style Transfer (HP)
|
100% |
13031
16.8 IPS |
|
|
Style Transfer (Q)
|
100% |
12833
16.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2652
97.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1908
70.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1706
63.2 IPS |
|
|
Text Classification (SP)
|
100% |
120
160.7 IPS |
|
|
Text Classification (HP)
|
100% |
90
119.5 IPS |
|
|
Text Classification (Q)
|
93% |
104
138.9 IPS |
|
|
Machine Translation (SP)
|
100% |
250
4.31 IPS |
|
|
Machine Translation (HP)
|
100% |
242
4.17 IPS |
|
|
Machine Translation (Q)
|
98% |
241
4.16 IPS |
