MacBook Pro (16-inch Late 2019)
Geekbench AI Score
3458
Single Precision Score
3612
Half Precision Score
1045
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | slavatsarev |
| Upload Date | January 03 2025 05:54 PM |
| Views | 19 |
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 i9-9880H |
| 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% |
2977
553.6 IPS |
|
|
Image Classification (HP)
|
100% |
2954
549.3 IPS |
|
|
Image Classification (Q)
|
96% |
131
24.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
380
6.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
365
5.92 IPS |
|
|
Image Segmentation (Q)
|
99% |
219
3.55 IPS |
|
|
Pose Estimation (SP)
|
100% |
18759
21.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
19764
23.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
2127
2.49 IPS |
|
|
Object Detection (SP)
|
100% |
2765
219.4 IPS |
|
|
Object Detection (HP)
|
100% |
2726
216.2 IPS |
|
|
Object Detection (Q)
|
92% |
158
12.6 IPS |
|
|
Face Detection (SP)
|
100% |
9931
118.0 IPS |
|
|
Face Detection (HP)
|
100% |
10776
128.0 IPS |
|
|
Face Detection (Q)
|
100% |
234
2.78 IPS |
|
|
Depth Estimation (SP)
|
100% |
12599
97.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
11735
90.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
11200
87.4 IPS |
|
|
Style Transfer (SP)
|
100% |
33923
43.6 IPS |
|
|
Style Transfer (HP)
|
100% |
36459
46.9 IPS |
|
|
Style Transfer (Q)
|
96% |
47377
61.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5274
194.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7496
276.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6790
250.7 IPS |
|
|
Text Classification (SP)
|
100% |
346
461.8 IPS |
|
|
Text Classification (HP)
|
100% |
407
543.8 IPS |
|
|
Text Classification (Q)
|
93% |
445
597.6 IPS |
|
|
Machine Translation (SP)
|
100% |
539
9.28 IPS |
|
|
Machine Translation (HP)
|
100% |
463
7.98 IPS |
|
|
Machine Translation (Q)
|
98% |
433
7.48 IPS |
