MacBook Pro (16-inch Late 2019)
Geekbench AI Score
851
Single Precision Score
628
Half Precision Score
441
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| Upload Date | December 23 2024 07:58 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-9750H |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| Model | MacBook Pro (16-inch Late 2019) |
| Model ID | MacBookPro16,1 |
| Motherboard | Apple Inc. Mac-E1008331FDC96864 MacBookPro16,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9750H |
| 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 | 16.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
421
78.4 IPS |
|
|
Image Classification (HP)
|
100% |
320
59.5 IPS |
|
|
Image Classification (Q)
|
96% |
176
33.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
398
6.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
378
6.13 IPS |
|
|
Image Segmentation (Q)
|
99% |
277
4.48 IPS |
|
|
Pose Estimation (SP)
|
100% |
2677
3.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
766
0.89 IPS |
|
|
Pose Estimation (Q)
|
96% |
672
0.79 IPS |
|
|
Object Detection (SP)
|
100% |
434
34.5 IPS |
|
|
Object Detection (HP)
|
100% |
351
27.9 IPS |
|
|
Object Detection (Q)
|
92% |
208
16.6 IPS |
|
|
Face Detection (SP)
|
100% |
881
10.5 IPS |
|
|
Face Detection (HP)
|
100% |
704
8.36 IPS |
|
|
Face Detection (Q)
|
100% |
308
3.66 IPS |
|
|
Depth Estimation (SP)
|
100% |
1376
10.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1055
8.13 IPS |
|
|
Depth Estimation (Q)
|
85% |
677
5.29 IPS |
|
|
Style Transfer (SP)
|
100% |
4005
5.15 IPS |
|
|
Style Transfer (HP)
|
100% |
2848
3.66 IPS |
|
|
Style Transfer (Q)
|
96% |
2247
2.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1366
50.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
588
21.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
370
13.7 IPS |
|
|
Text Classification (SP)
|
100% |
447
597.1 IPS |
|
|
Text Classification (HP)
|
100% |
455
607.4 IPS |
|
|
Text Classification (Q)
|
93% |
453
608.3 IPS |
|
|
Machine Translation (SP)
|
100% |
348
5.99 IPS |
|
|
Machine Translation (HP)
|
100% |
523
9.01 IPS |
|
|
Machine Translation (Q)
|
98% |
522
9.01 IPS |
