MacBook Pro (16-inch Late 2019)
Geekbench AI Score
3321
Single Precision Score
3307
Half Precision Score
1043
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| Upload Date | February 16 2025 05:41 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 5300M |
| 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 i9-9980HK |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 2.40 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% |
2457
457.0 IPS |
|
|
Image Classification (HP)
|
100% |
2547
473.7 IPS |
|
|
Image Classification (Q)
|
96% |
131
24.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
400
6.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
394
6.39 IPS |
|
|
Image Segmentation (Q)
|
99% |
240
3.89 IPS |
|
|
Pose Estimation (SP)
|
100% |
15911
18.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
14855
17.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
2239
2.62 IPS |
|
|
Object Detection (SP)
|
100% |
2523
200.1 IPS |
|
|
Object Detection (HP)
|
100% |
2444
193.8 IPS |
|
|
Object Detection (Q)
|
92% |
160
12.8 IPS |
|
|
Face Detection (SP)
|
100% |
8792
104.5 IPS |
|
|
Face Detection (HP)
|
100% |
9021
107.2 IPS |
|
|
Face Detection (Q)
|
100% |
264
3.14 IPS |
|
|
Depth Estimation (SP)
|
100% |
11330
87.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
11268
86.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10775
84.1 IPS |
|
|
Style Transfer (SP)
|
100% |
30282
38.9 IPS |
|
|
Style Transfer (HP)
|
100% |
29874
38.4 IPS |
|
|
Style Transfer (Q)
|
96% |
38991
50.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5660
209.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6773
250.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6055
223.6 IPS |
|
|
Text Classification (SP)
|
100% |
344
459.4 IPS |
|
|
Text Classification (HP)
|
100% |
457
609.5 IPS |
|
|
Text Classification (Q)
|
93% |
447
600.0 IPS |
|
|
Machine Translation (SP)
|
100% |
705
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
458
7.89 IPS |
|
|
Machine Translation (Q)
|
98% |
451
7.79 IPS |
