MacBook Pro (16-inch Late 2019)
Geekbench AI Score
834
Single Precision Score
708
Half Precision Score
498
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | ntompson |
| Upload Date | December 16 2024 11:32 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-9880H |
| System Information | |
|---|---|
| Operating System | macOS 14.7.1 (Build 23H222) |
| Model | MacBook Pro (16-inch Late 2019) |
| Model ID | MacBookPro16,1 |
| Motherboard | Apple Inc. Mac-E1008331FDC96864 MacBookPro16,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9880H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
425
78.9 IPS |
|
|
Image Classification (HP)
|
100% |
309
57.4 IPS |
|
|
Image Classification (Q)
|
96% |
177
33.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
431
6.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
301
4.89 IPS |
|
|
Image Segmentation (Q)
|
99% |
266
4.31 IPS |
|
|
Pose Estimation (SP)
|
100% |
2596
3.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
2316
2.70 IPS |
|
|
Pose Estimation (Q)
|
96% |
1714
2.01 IPS |
|
|
Object Detection (SP)
|
100% |
416
33.0 IPS |
|
|
Object Detection (HP)
|
100% |
331
26.2 IPS |
|
|
Object Detection (Q)
|
92% |
203
16.2 IPS |
|
|
Face Detection (SP)
|
100% |
827
9.82 IPS |
|
|
Face Detection (HP)
|
100% |
697
8.28 IPS |
|
|
Face Detection (Q)
|
100% |
313
3.72 IPS |
|
|
Depth Estimation (SP)
|
100% |
1336
10.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1075
8.29 IPS |
|
|
Depth Estimation (Q)
|
86% |
696
5.43 IPS |
|
|
Style Transfer (SP)
|
100% |
3517
4.52 IPS |
|
|
Style Transfer (HP)
|
100% |
3912
5.03 IPS |
|
|
Style Transfer (Q)
|
96% |
2842
3.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1286
47.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
607
22.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
373
13.8 IPS |
|
|
Text Classification (SP)
|
100% |
476
635.9 IPS |
|
|
Text Classification (HP)
|
100% |
471
628.4 IPS |
|
|
Text Classification (Q)
|
93% |
468
627.7 IPS |
|
|
Machine Translation (SP)
|
100% |
350
6.03 IPS |
|
|
Machine Translation (HP)
|
100% |
533
9.17 IPS |
|
|
Machine Translation (Q)
|
98% |
530
9.16 IPS |
