MacBook Pro (16-inch Late 2019)
Geekbench AI Score
3518
Single Precision Score
3597
Half Precision Score
1499
Quantized Score
Geekbench AI 1.0.0 for macOS AVX2
Result Information
| Upload Date | August 23 2024 01:08 AM |
| Views | 13 |
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% |
2901
539.6 IPS |
|
|
Image Classification (HP)
|
100% |
2874
534.5 IPS |
|
|
Image Classification (Q)
|
99% |
2859
533.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
341
5.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
333
5.39 IPS |
|
|
Image Segmentation (Q)
|
100% |
356
5.78 IPS |
|
|
Pose Estimation (SP)
|
100% |
18577
21.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19876
23.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
2093
2.45 IPS |
|
|
Object Detection (SP)
|
100% |
2748
218.0 IPS |
|
|
Object Detection (HP)
|
100% |
2704
214.5 IPS |
|
|
Object Detection (Q)
|
92% |
157
12.6 IPS |
|
|
Face Detection (SP)
|
100% |
9776
116.2 IPS |
|
|
Face Detection (HP)
|
100% |
10322
122.6 IPS |
|
|
Face Detection (Q)
|
100% |
241
2.87 IPS |
|
|
Depth Estimation (SP)
|
100% |
12286
94.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
12180
93.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
12246
94.7 IPS |
|
|
Style Transfer (SP)
|
100% |
36234
46.6 IPS |
|
|
Style Transfer (HP)
|
100% |
36509
46.9 IPS |
|
|
Style Transfer (Q)
|
100% |
37338
48.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5636
208.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8002
295.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7710
285.7 IPS |
|
|
Text Classification (SP)
|
100% |
331
442.4 IPS |
|
|
Text Classification (HP)
|
100% |
372
496.9 IPS |
|
|
Text Classification (Q)
|
93% |
453
608.3 IPS |
|
|
Machine Translation (SP)
|
100% |
710
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
517
8.90 IPS |
|
|
Machine Translation (Q)
|
98% |
446
7.70 IPS |
