MacBook Pro (16-inch Late 2019)
Geekbench AI Score
3558
Single Precision Score
3545
Half Precision Score
1031
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | Helwar |
| Upload Date | September 28 2024 09:59 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 5500M |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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% |
2936
545.9 IPS |
|
|
Image Classification (HP)
|
100% |
2920
542.9 IPS |
|
|
Image Classification (Q)
|
96% |
121
22.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
358
5.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
354
5.73 IPS |
|
|
Image Segmentation (Q)
|
99% |
213
3.45 IPS |
|
|
Pose Estimation (SP)
|
100% |
18951
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
19731
23.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
2231
2.61 IPS |
|
|
Object Detection (SP)
|
100% |
2848
225.9 IPS |
|
|
Object Detection (HP)
|
100% |
2797
221.9 IPS |
|
|
Object Detection (Q)
|
92% |
103
8.24 IPS |
|
|
Face Detection (SP)
|
100% |
8685
103.2 IPS |
|
|
Face Detection (HP)
|
100% |
5788
68.8 IPS |
|
|
Face Detection (Q)
|
100% |
225
2.67 IPS |
|
|
Depth Estimation (SP)
|
100% |
13194
101.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
13160
101.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
11903
92.9 IPS |
|
|
Style Transfer (SP)
|
100% |
35637
45.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38093
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
46303
59.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6201
229.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8695
321.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7327
270.6 IPS |
|
|
Text Classification (SP)
|
100% |
336
449.1 IPS |
|
|
Text Classification (HP)
|
100% |
397
529.6 IPS |
|
|
Text Classification (Q)
|
93% |
469
629.1 IPS |
|
|
Machine Translation (SP)
|
100% |
675
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
549
9.46 IPS |
|
|
Machine Translation (Q)
|
98% |
540
9.32 IPS |
