MacBook Pro (16-inch Late 2019)
Geekbench AI Score
3354
Single Precision Score
3564
Half Precision Score
961
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | gundar |
| Upload Date | January 26 2025 05:49 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 5500M |
| 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 i9-9980HK |
| 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 | 64.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2968
552.0 IPS |
|
|
Image Classification (HP)
|
100% |
2928
544.5 IPS |
|
|
Image Classification (Q)
|
96% |
113
21.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
363
5.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
388
6.29 IPS |
|
|
Image Segmentation (Q)
|
99% |
199
3.22 IPS |
|
|
Pose Estimation (SP)
|
100% |
18447
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19800
23.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
2101
2.46 IPS |
|
|
Object Detection (SP)
|
100% |
2758
218.8 IPS |
|
|
Object Detection (HP)
|
100% |
2713
215.2 IPS |
|
|
Object Detection (Q)
|
92% |
88
7.03 IPS |
|
|
Face Detection (SP)
|
100% |
5899
70.1 IPS |
|
|
Face Detection (HP)
|
100% |
7568
89.9 IPS |
|
|
Face Detection (Q)
|
100% |
213
2.54 IPS |
|
|
Depth Estimation (SP)
|
100% |
12978
100.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
11861
91.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
11300
88.2 IPS |
|
|
Style Transfer (SP)
|
100% |
34119
43.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37240
47.9 IPS |
|
|
Style Transfer (Q)
|
96% |
47828
61.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6329
233.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8010
295.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7377
272.4 IPS |
|
|
Text Classification (SP)
|
100% |
330
440.3 IPS |
|
|
Text Classification (HP)
|
100% |
416
554.9 IPS |
|
|
Text Classification (Q)
|
93% |
425
570.4 IPS |
|
|
Machine Translation (SP)
|
100% |
604
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
487
8.38 IPS |
|
|
Machine Translation (Q)
|
98% |
452
7.81 IPS |
