MacBook Pro (15-inch Mid 2018)
Geekbench AI Score
732
Single Precision Score
579
Half Precision Score
409
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | Paletix42 |
| Upload Date | December 20 2024 01:25 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-8850H |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 32.00 GB |
| Transfer Rate | 2400 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
413
76.7 IPS |
|
|
Image Classification (HP)
|
100% |
303
56.4 IPS |
|
|
Image Classification (Q)
|
96% |
170
31.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
382
6.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
347
5.62 IPS |
|
|
Image Segmentation (Q)
|
99% |
259
4.20 IPS |
|
|
Pose Estimation (SP)
|
100% |
1967
2.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
707
0.82 IPS |
|
|
Pose Estimation (Q)
|
96% |
603
0.71 IPS |
|
|
Object Detection (SP)
|
100% |
402
31.9 IPS |
|
|
Object Detection (HP)
|
100% |
311
24.7 IPS |
|
|
Object Detection (Q)
|
92% |
195
15.6 IPS |
|
|
Face Detection (SP)
|
100% |
830
9.86 IPS |
|
|
Face Detection (HP)
|
100% |
660
7.84 IPS |
|
|
Face Detection (Q)
|
100% |
291
3.45 IPS |
|
|
Depth Estimation (SP)
|
100% |
1063
8.19 IPS |
|
|
Depth Estimation (HP)
|
99% |
1029
7.93 IPS |
|
|
Depth Estimation (Q)
|
85% |
661
5.17 IPS |
|
|
Style Transfer (SP)
|
100% |
2926
3.76 IPS |
|
|
Style Transfer (HP)
|
100% |
2727
3.51 IPS |
|
|
Style Transfer (Q)
|
96% |
2047
2.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1191
44.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
561
20.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
355
13.1 IPS |
|
|
Text Classification (SP)
|
100% |
408
544.9 IPS |
|
|
Text Classification (HP)
|
100% |
418
558.6 IPS |
|
|
Text Classification (Q)
|
93% |
423
568.1 IPS |
|
|
Machine Translation (SP)
|
100% |
284
4.89 IPS |
|
|
Machine Translation (HP)
|
100% |
429
7.39 IPS |
|
|
Machine Translation (Q)
|
98% |
432
7.47 IPS |
