MacBook Pro (15-inch Mid 2018)
Geekbench AI Score
1405
Single Precision Score
1352
Half Precision Score
553
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | feranick |
| Upload Date | November 07 2024 05:59 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 555X |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 32.00 GB |
| Transfer Rate | 2400 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1019
189.5 IPS |
|
|
Image Classification (HP)
|
100% |
764
142.1 IPS |
|
|
Image Classification (Q)
|
96% |
115
21.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
281
4.56 IPS |
|
|
Image Segmentation (HP)
|
100% |
268
4.34 IPS |
|
|
Image Segmentation (Q)
|
99% |
118
1.91 IPS |
|
|
Pose Estimation (SP)
|
100% |
5082
5.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
4590
5.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
1458
1.71 IPS |
|
|
Object Detection (SP)
|
100% |
1038
82.4 IPS |
|
|
Object Detection (HP)
|
100% |
1094
86.8 IPS |
|
|
Object Detection (Q)
|
92% |
99
7.89 IPS |
|
|
Face Detection (SP)
|
100% |
3161
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
3442
40.9 IPS |
|
|
Face Detection (Q)
|
100% |
170
2.02 IPS |
|
|
Depth Estimation (SP)
|
100% |
4359
33.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3505
27.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
4167
32.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10350
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9675
12.4 IPS |
|
|
Style Transfer (Q)
|
96% |
11591
15.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2387
88.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2547
94.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2192
80.9 IPS |
|
|
Text Classification (SP)
|
100% |
227
302.8 IPS |
|
|
Text Classification (HP)
|
100% |
289
386.2 IPS |
|
|
Text Classification (Q)
|
93% |
332
445.7 IPS |
|
|
Machine Translation (SP)
|
100% |
258
4.45 IPS |
|
|
Machine Translation (HP)
|
100% |
232
4.00 IPS |
|
|
Machine Translation (Q)
|
98% |
232
4.01 IPS |
