MacBook Pro (16-inch Late 2019)
Geekbench AI Score
3083
Single Precision Score
3378
Half Precision Score
904
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | nordicpioneer |
| Upload Date | February 12 2025 04:30 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 5500M |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 64.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2496
464.3 IPS |
|
|
Image Classification (HP)
|
100% |
2625
488.1 IPS |
|
|
Image Classification (Q)
|
96% |
101
18.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
289
4.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
285
4.63 IPS |
|
|
Image Segmentation (Q)
|
99% |
173
2.80 IPS |
|
|
Pose Estimation (SP)
|
100% |
18961
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
19820
23.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
1915
2.24 IPS |
|
|
Object Detection (SP)
|
100% |
2714
215.3 IPS |
|
|
Object Detection (HP)
|
100% |
2662
211.1 IPS |
|
|
Object Detection (Q)
|
92% |
97
7.72 IPS |
|
|
Face Detection (SP)
|
100% |
7451
88.5 IPS |
|
|
Face Detection (HP)
|
100% |
7584
90.1 IPS |
|
|
Face Detection (Q)
|
100% |
182
2.16 IPS |
|
|
Depth Estimation (SP)
|
100% |
12882
99.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
12855
99.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
12135
94.7 IPS |
|
|
Style Transfer (SP)
|
100% |
35378
45.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37453
48.1 IPS |
|
|
Style Transfer (Q)
|
96% |
48468
62.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4434
163.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7962
294.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6923
255.6 IPS |
|
|
Text Classification (SP)
|
100% |
257
342.6 IPS |
|
|
Text Classification (HP)
|
100% |
347
463.1 IPS |
|
|
Text Classification (Q)
|
93% |
314
422.1 IPS |
|
|
Machine Translation (SP)
|
100% |
541
9.32 IPS |
|
|
Machine Translation (HP)
|
100% |
487
8.39 IPS |
|
|
Machine Translation (Q)
|
98% |
485
8.39 IPS |
