MacBook Pro (16-inch Late 2019)
Geekbench AI Score
964
Single Precision Score
691
Half Precision Score
477
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| Upload Date | December 27 2024 12:36 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-9880H |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 16.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
444
82.6 IPS |
|
|
Image Classification (HP)
|
100% |
337
62.6 IPS |
|
|
Image Classification (Q)
|
96% |
187
35.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
497
8.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
433
7.01 IPS |
|
|
Image Segmentation (Q)
|
99% |
302
4.90 IPS |
|
|
Pose Estimation (SP)
|
100% |
3064
3.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
817
0.95 IPS |
|
|
Pose Estimation (Q)
|
96% |
742
0.87 IPS |
|
|
Object Detection (SP)
|
100% |
464
36.8 IPS |
|
|
Object Detection (HP)
|
100% |
375
29.8 IPS |
|
|
Object Detection (Q)
|
92% |
221
17.6 IPS |
|
|
Face Detection (SP)
|
100% |
1030
12.2 IPS |
|
|
Face Detection (HP)
|
100% |
802
9.53 IPS |
|
|
Face Detection (Q)
|
100% |
339
4.03 IPS |
|
|
Depth Estimation (SP)
|
100% |
1525
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1236
9.52 IPS |
|
|
Depth Estimation (Q)
|
85% |
761
5.95 IPS |
|
|
Style Transfer (SP)
|
100% |
4838
6.22 IPS |
|
|
Style Transfer (HP)
|
100% |
3413
4.39 IPS |
|
|
Style Transfer (Q)
|
96% |
2602
3.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1785
65.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
670
24.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
408
15.1 IPS |
|
|
Text Classification (SP)
|
100% |
471
628.6 IPS |
|
|
Text Classification (HP)
|
100% |
465
621.3 IPS |
|
|
Text Classification (Q)
|
93% |
464
623.3 IPS |
|
|
Machine Translation (SP)
|
100% |
348
5.99 IPS |
|
|
Machine Translation (HP)
|
100% |
527
9.09 IPS |
|
|
Machine Translation (Q)
|
98% |
525
9.07 IPS |
