MacBook Pro (15-inch Mid 2018)
Geekbench AI Score
700
Single Precision Score
528
Half Precision Score
359
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | feranick |
| Upload Date | November 07 2024 05:51 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-8750H |
| 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% |
406
75.5 IPS |
|
|
Image Classification (HP)
|
100% |
299
55.6 IPS |
|
|
Image Classification (Q)
|
96% |
166
30.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
389
6.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
349
5.65 IPS |
|
|
Image Segmentation (Q)
|
99% |
247
4.00 IPS |
|
|
Pose Estimation (SP)
|
100% |
2160
2.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
607
0.71 IPS |
|
|
Pose Estimation (Q)
|
96% |
543
0.64 IPS |
|
|
Object Detection (SP)
|
100% |
343
27.2 IPS |
|
|
Object Detection (HP)
|
100% |
288
22.8 IPS |
|
|
Object Detection (Q)
|
92% |
165
13.1 IPS |
|
|
Face Detection (SP)
|
100% |
800
9.51 IPS |
|
|
Face Detection (HP)
|
100% |
654
7.77 IPS |
|
|
Face Detection (Q)
|
100% |
283
3.36 IPS |
|
|
Depth Estimation (SP)
|
100% |
1047
8.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
866
6.67 IPS |
|
|
Depth Estimation (Q)
|
85% |
460
3.60 IPS |
|
|
Style Transfer (SP)
|
100% |
2608
3.35 IPS |
|
|
Style Transfer (HP)
|
100% |
1885
2.42 IPS |
|
|
Style Transfer (Q)
|
96% |
1382
1.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1028
38.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
466
17.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
267
9.85 IPS |
|
|
Text Classification (SP)
|
100% |
335
446.6 IPS |
|
|
Text Classification (HP)
|
100% |
369
493.0 IPS |
|
|
Text Classification (Q)
|
93% |
407
545.6 IPS |
|
|
Machine Translation (SP)
|
100% |
322
5.55 IPS |
|
|
Machine Translation (HP)
|
100% |
504
8.69 IPS |
|
|
Machine Translation (Q)
|
98% |
498
8.61 IPS |
