MacBook Pro (15-inch Mid 2018)
Geekbench AI Score
729
Single Precision Score
509
Half Precision Score
368
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | arobasefr |
| Upload Date | September 23 2024 03:41 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-8750H |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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% |
331
61.6 IPS |
|
|
Image Classification (HP)
|
100% |
256
47.6 IPS |
|
|
Image Classification (Q)
|
96% |
155
28.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
369
5.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
282
4.57 IPS |
|
|
Image Segmentation (Q)
|
99% |
218
3.54 IPS |
|
|
Pose Estimation (SP)
|
100% |
2242
2.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
569
0.66 IPS |
|
|
Pose Estimation (Q)
|
96% |
528
0.62 IPS |
|
|
Object Detection (SP)
|
100% |
353
28.0 IPS |
|
|
Object Detection (HP)
|
100% |
303
24.0 IPS |
|
|
Object Detection (Q)
|
92% |
171
13.7 IPS |
|
|
Face Detection (SP)
|
100% |
826
9.82 IPS |
|
|
Face Detection (HP)
|
100% |
645
7.67 IPS |
|
|
Face Detection (Q)
|
100% |
282
3.35 IPS |
|
|
Depth Estimation (SP)
|
100% |
1078
8.30 IPS |
|
|
Depth Estimation (HP)
|
99% |
785
6.05 IPS |
|
|
Depth Estimation (Q)
|
85% |
533
4.17 IPS |
|
|
Style Transfer (SP)
|
100% |
3089
3.97 IPS |
|
|
Style Transfer (HP)
|
100% |
1966
2.53 IPS |
|
|
Style Transfer (Q)
|
96% |
1698
2.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1232
45.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
482
17.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
303
11.2 IPS |
|
|
Text Classification (SP)
|
100% |
422
563.7 IPS |
|
|
Text Classification (HP)
|
100% |
411
547.9 IPS |
|
|
Text Classification (Q)
|
93% |
409
549.2 IPS |
|
|
Machine Translation (SP)
|
100% |
308
5.30 IPS |
|
|
Machine Translation (HP)
|
100% |
485
8.36 IPS |
|
|
Machine Translation (Q)
|
98% |
481
8.31 IPS |
