MacBook Pro (16-inch Late 2019)
Geekbench AI Score
898
Single Precision Score
757
Half Precision Score
515
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | CircuitSphere |
| Upload Date | September 07 2024 10:03 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-9880H |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
417
77.5 IPS |
|
|
Image Classification (HP)
|
100% |
308
57.3 IPS |
|
|
Image Classification (Q)
|
96% |
178
33.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
419
6.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
305
4.95 IPS |
|
|
Image Segmentation (Q)
|
99% |
271
4.39 IPS |
|
|
Pose Estimation (SP)
|
100% |
2987
3.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
2114
2.47 IPS |
|
|
Pose Estimation (Q)
|
96% |
1592
1.87 IPS |
|
|
Object Detection (SP)
|
100% |
425
33.7 IPS |
|
|
Object Detection (HP)
|
100% |
344
27.3 IPS |
|
|
Object Detection (Q)
|
92% |
210
16.8 IPS |
|
|
Face Detection (SP)
|
100% |
888
10.6 IPS |
|
|
Face Detection (HP)
|
100% |
754
8.96 IPS |
|
|
Face Detection (Q)
|
100% |
329
3.91 IPS |
|
|
Depth Estimation (SP)
|
100% |
1253
9.65 IPS |
|
|
Depth Estimation (HP)
|
99% |
1002
7.72 IPS |
|
|
Depth Estimation (Q)
|
86% |
690
5.39 IPS |
|
|
Style Transfer (SP)
|
100% |
4617
5.93 IPS |
|
|
Style Transfer (HP)
|
100% |
4394
5.65 IPS |
|
|
Style Transfer (Q)
|
96% |
3097
4.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1810
66.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1119
41.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
509
18.8 IPS |
|
|
Text Classification (SP)
|
100% |
477
636.4 IPS |
|
|
Text Classification (HP)
|
100% |
462
616.7 IPS |
|
|
Text Classification (Q)
|
93% |
445
596.8 IPS |
|
|
Machine Translation (SP)
|
100% |
347
5.97 IPS |
|
|
Machine Translation (HP)
|
100% |
531
9.14 IPS |
|
|
Machine Translation (Q)
|
98% |
515
8.90 IPS |
