MacBook Pro (16-inch Late 2019)
Geekbench AI Score
3301
Single Precision Score
3485
Half Precision Score
963
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | uladzislau_dzerzh |
| Upload Date | October 31 2024 06:57 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 5500M |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| Model | MacBook Pro (16-inch Late 2019) |
| Model ID | MacBookPro16,1 |
| Motherboard | Apple Inc. Mac-E1008331FDC96864 MacBookPro16,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9980HK |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 2.40 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% |
2967
551.8 IPS |
|
|
Image Classification (HP)
|
100% |
2967
551.8 IPS |
|
|
Image Classification (Q)
|
96% |
105
19.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
294
4.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
308
5.00 IPS |
|
|
Image Segmentation (Q)
|
99% |
193
3.13 IPS |
|
|
Pose Estimation (SP)
|
100% |
18636
21.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19613
22.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
1997
2.34 IPS |
|
|
Object Detection (SP)
|
100% |
2771
219.8 IPS |
|
|
Object Detection (HP)
|
100% |
2734
216.8 IPS |
|
|
Object Detection (Q)
|
92% |
91
7.25 IPS |
|
|
Face Detection (SP)
|
100% |
9153
108.8 IPS |
|
|
Face Detection (HP)
|
100% |
9609
114.2 IPS |
|
|
Face Detection (Q)
|
100% |
210
2.49 IPS |
|
|
Depth Estimation (SP)
|
100% |
12568
96.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
12054
92.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
11406
89.0 IPS |
|
|
Style Transfer (SP)
|
100% |
33600
43.2 IPS |
|
|
Style Transfer (HP)
|
100% |
36101
46.4 IPS |
|
|
Style Transfer (Q)
|
96% |
46225
59.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4219
155.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7367
272.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7089
261.7 IPS |
|
|
Text Classification (SP)
|
100% |
426
568.3 IPS |
|
|
Text Classification (HP)
|
100% |
417
556.8 IPS |
|
|
Text Classification (Q)
|
93% |
522
700.4 IPS |
|
|
Machine Translation (SP)
|
100% |
491
8.47 IPS |
|
|
Machine Translation (HP)
|
100% |
420
7.23 IPS |
|
|
Machine Translation (Q)
|
98% |
459
7.93 IPS |
