MacBook Pro (16-inch Late 2019)
Geekbench AI Score
3454
Single Precision Score
3524
Half Precision Score
988
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | starkAhmed43 |
| Upload Date | September 14 2025 02:54 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 5500M |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A353) |
| 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% |
3123
580.8 IPS |
|
|
Image Classification (HP)
|
100% |
3063
569.6 IPS |
|
|
Image Classification (Q)
|
96% |
122
22.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
338
5.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
338
5.47 IPS |
|
|
Image Segmentation (Q)
|
99% |
185
3.00 IPS |
|
|
Pose Estimation (SP)
|
100% |
18914
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
20070
23.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
1836
2.15 IPS |
|
|
Object Detection (SP)
|
100% |
2679
212.5 IPS |
|
|
Object Detection (HP)
|
100% |
2521
200.0 IPS |
|
|
Object Detection (Q)
|
92% |
97
7.72 IPS |
|
|
Face Detection (SP)
|
100% |
8931
106.1 IPS |
|
|
Face Detection (HP)
|
100% |
6337
75.3 IPS |
|
|
Face Detection (Q)
|
100% |
205
2.44 IPS |
|
|
Depth Estimation (SP)
|
100% |
12276
94.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
12270
94.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
11302
88.3 IPS |
|
|
Style Transfer (SP)
|
100% |
34567
44.4 IPS |
|
|
Style Transfer (HP)
|
100% |
36412
46.8 IPS |
|
|
Style Transfer (Q)
|
96% |
47369
61.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5877
217.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8413
310.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7186
265.4 IPS |
|
|
Text Classification (SP)
|
100% |
360
481.0 IPS |
|
|
Text Classification (HP)
|
100% |
492
657.1 IPS |
|
|
Text Classification (Q)
|
93% |
477
640.7 IPS |
|
|
Machine Translation (SP)
|
100% |
565
9.73 IPS |
|
|
Machine Translation (HP)
|
100% |
482
8.30 IPS |
|
|
Machine Translation (Q)
|
98% |
587
10.1 IPS |
