MacBook Pro (15-inch Mid 2018)
Geekbench AI Score
760
Single Precision Score
555
Half Precision Score
394
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| Upload Date | September 18 2024 08:54 PM |
| Views | 2 |
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% |
401
74.5 IPS |
|
|
Image Classification (HP)
|
100% |
303
56.4 IPS |
|
|
Image Classification (Q)
|
96% |
169
31.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
368
5.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
331
5.36 IPS |
|
|
Image Segmentation (Q)
|
99% |
247
4.01 IPS |
|
|
Pose Estimation (SP)
|
100% |
2441
2.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
646
0.75 IPS |
|
|
Pose Estimation (Q)
|
96% |
587
0.69 IPS |
|
|
Object Detection (SP)
|
100% |
406
32.2 IPS |
|
|
Object Detection (HP)
|
100% |
335
26.6 IPS |
|
|
Object Detection (Q)
|
92% |
198
15.8 IPS |
|
|
Face Detection (SP)
|
100% |
821
9.75 IPS |
|
|
Face Detection (HP)
|
100% |
619
7.36 IPS |
|
|
Face Detection (Q)
|
100% |
282
3.36 IPS |
|
|
Depth Estimation (SP)
|
100% |
1244
9.58 IPS |
|
|
Depth Estimation (HP)
|
99% |
1010
7.78 IPS |
|
|
Depth Estimation (Q)
|
85% |
628
4.91 IPS |
|
|
Style Transfer (SP)
|
100% |
3405
4.38 IPS |
|
|
Style Transfer (HP)
|
100% |
2317
2.98 IPS |
|
|
Style Transfer (Q)
|
96% |
1863
2.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1139
42.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
507
18.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
322
11.9 IPS |
|
|
Text Classification (SP)
|
100% |
403
538.2 IPS |
|
|
Text Classification (HP)
|
100% |
395
527.7 IPS |
|
|
Text Classification (Q)
|
93% |
402
539.0 IPS |
|
|
Machine Translation (SP)
|
100% |
277
4.78 IPS |
|
|
Machine Translation (HP)
|
100% |
441
7.60 IPS |
|
|
Machine Translation (Q)
|
98% |
436
7.54 IPS |
