MacBook Pro (15-inch Mid 2018)
Geekbench AI Score
715
Single Precision Score
593
Half Precision Score
427
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | CanadaRunner |
| Upload Date | December 04 2024 08:03 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-8950HK |
| System Information | |
|---|---|
| Operating System | macOS 14.7.1 (Build 23H222) |
| Model | MacBook Pro (15-inch Mid 2018) |
| Model ID | MacBookPro15,1 |
| Motherboard | Apple Inc. Mac-937A206F2EE63C01 MacBookPro15,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-8950HK |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.90 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% |
380
70.6 IPS |
|
|
Image Classification (HP)
|
100% |
269
50.0 IPS |
|
|
Image Classification (Q)
|
96% |
162
30.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
346
5.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
255
4.13 IPS |
|
|
Image Segmentation (Q)
|
99% |
223
3.62 IPS |
|
|
Pose Estimation (SP)
|
100% |
2316
2.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
1699
1.98 IPS |
|
|
Pose Estimation (Q)
|
96% |
1305
1.53 IPS |
|
|
Object Detection (SP)
|
100% |
346
27.4 IPS |
|
|
Object Detection (HP)
|
100% |
290
23.0 IPS |
|
|
Object Detection (Q)
|
92% |
182
14.6 IPS |
|
|
Face Detection (SP)
|
100% |
721
8.56 IPS |
|
|
Face Detection (HP)
|
100% |
627
7.45 IPS |
|
|
Face Detection (Q)
|
100% |
289
3.43 IPS |
|
|
Depth Estimation (SP)
|
100% |
1080
8.32 IPS |
|
|
Depth Estimation (HP)
|
99% |
865
6.66 IPS |
|
|
Depth Estimation (Q)
|
86% |
572
4.47 IPS |
|
|
Style Transfer (SP)
|
100% |
2945
3.79 IPS |
|
|
Style Transfer (HP)
|
100% |
2823
3.63 IPS |
|
|
Style Transfer (Q)
|
96% |
2184
2.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1051
38.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
508
18.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
314
11.6 IPS |
|
|
Text Classification (SP)
|
100% |
437
583.7 IPS |
|
|
Text Classification (HP)
|
100% |
425
567.6 IPS |
|
|
Text Classification (Q)
|
93% |
427
573.6 IPS |
|
|
Machine Translation (SP)
|
100% |
318
5.48 IPS |
|
|
Machine Translation (HP)
|
100% |
489
8.42 IPS |
|
|
Machine Translation (Q)
|
98% |
491
8.48 IPS |
