MacBook Pro (16-inch Late 2019)
Geekbench AI Score
2962
Single Precision Score
3136
Half Precision Score
875
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | jonvharrison |
| Upload Date | December 08 2024 05:48 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 5500M |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 | 32.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2502
465.2 IPS |
|
|
Image Classification (HP)
|
100% |
2677
497.9 IPS |
|
|
Image Classification (Q)
|
96% |
102
19.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
247
4.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
244
3.95 IPS |
|
|
Image Segmentation (Q)
|
99% |
157
2.54 IPS |
|
|
Pose Estimation (SP)
|
100% |
19212
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19779
23.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
1682
1.97 IPS |
|
|
Object Detection (SP)
|
100% |
2718
215.6 IPS |
|
|
Object Detection (HP)
|
100% |
2670
211.8 IPS |
|
|
Object Detection (Q)
|
92% |
100
7.95 IPS |
|
|
Face Detection (SP)
|
100% |
7016
83.4 IPS |
|
|
Face Detection (HP)
|
100% |
6080
72.2 IPS |
|
|
Face Detection (Q)
|
100% |
181
2.15 IPS |
|
|
Depth Estimation (SP)
|
100% |
12539
96.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
11616
89.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
11875
92.7 IPS |
|
|
Style Transfer (SP)
|
100% |
35017
45.0 IPS |
|
|
Style Transfer (HP)
|
100% |
36723
47.2 IPS |
|
|
Style Transfer (Q)
|
96% |
47095
60.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4294
158.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7441
274.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6876
253.9 IPS |
|
|
Text Classification (SP)
|
100% |
257
343.4 IPS |
|
|
Text Classification (HP)
|
100% |
347
463.0 IPS |
|
|
Text Classification (Q)
|
93% |
344
461.7 IPS |
|
|
Machine Translation (SP)
|
100% |
474
8.17 IPS |
|
|
Machine Translation (HP)
|
100% |
399
6.87 IPS |
|
|
Machine Translation (Q)
|
98% |
410
7.09 IPS |
