MacBook Pro (16-inch Late 2019)
Geekbench AI Score
3360
Single Precision Score
3519
Half Precision Score
404
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| Upload Date | September 19 2024 09:16 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 5500M |
| 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% |
2852
530.5 IPS |
|
|
Image Classification (HP)
|
100% |
2870
533.6 IPS |
|
|
Image Classification (Q)
|
96% |
124
23.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
332
5.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
349
5.66 IPS |
|
|
Image Segmentation (Q)
|
99% |
200
3.25 IPS |
|
|
Pose Estimation (SP)
|
100% |
18180
21.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
19600
22.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
2124
2.49 IPS |
|
|
Object Detection (SP)
|
100% |
2688
213.2 IPS |
|
|
Object Detection (HP)
|
100% |
2651
210.3 IPS |
|
|
Object Detection (Q)
|
92% |
152
12.2 IPS |
|
|
Face Detection (SP)
|
100% |
9775
116.2 IPS |
|
|
Face Detection (HP)
|
100% |
10058
119.5 IPS |
|
|
Face Detection (Q)
|
100% |
218
2.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
12046
92.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
11704
90.2 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
83.5 IPS |
|
|
Style Transfer (SP)
|
100% |
34320
44.1 IPS |
|
|
Style Transfer (HP)
|
100% |
36342
46.7 IPS |
|
|
Style Transfer (Q)
|
96% |
48525
62.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5259
194.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7145
263.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7645
282.3 IPS |
|
|
Text Classification (SP)
|
100% |
317
423.6 IPS |
|
|
Text Classification (HP)
|
100% |
369
493.1 IPS |
|
|
Text Classification (Q)
|
93% |
401
538.2 IPS |
|
|
Machine Translation (SP)
|
100% |
590
10.2 IPS |
|
|
Machine Translation (HP)
|
100% |
497
8.56 IPS |
|
|
Machine Translation (Q)
|
98% |
455
7.87 IPS |
