MacBook Pro (16-inch Late 2019)
Geekbench AI Score
3310
Single Precision Score
3331
Half Precision Score
971
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| User | felixskw |
| Upload Date | November 07 2025 11:31 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 5500M |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
3026
562.8 IPS |
|
|
Image Classification (HP)
|
100% |
2843
528.6 IPS |
|
|
Image Classification (Q)
|
96% |
121
22.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
325
5.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
308
5.00 IPS |
|
|
Image Segmentation (Q)
|
99% |
182
2.95 IPS |
|
|
Pose Estimation (SP)
|
100% |
18813
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
19662
22.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
1840
2.16 IPS |
|
|
Object Detection (SP)
|
100% |
2726
216.2 IPS |
|
|
Object Detection (HP)
|
100% |
2632
208.7 IPS |
|
|
Object Detection (Q)
|
92% |
104
8.34 IPS |
|
|
Face Detection (SP)
|
100% |
6975
82.9 IPS |
|
|
Face Detection (HP)
|
100% |
5056
60.1 IPS |
|
|
Face Detection (Q)
|
100% |
199
2.36 IPS |
|
|
Depth Estimation (SP)
|
100% |
13035
100.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
12716
98.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
11542
90.2 IPS |
|
|
Style Transfer (SP)
|
100% |
36155
46.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37485
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
48650
62.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5701
210.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8219
303.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6934
256.0 IPS |
|
|
Text Classification (SP)
|
71% |
291
421.5 IPS |
|
|
Text Classification (HP)
|
71% |
375
542.5 IPS |
|
|
Text Classification (Q)
|
71% |
443
640.7 IPS |
|
|
Machine Translation (SP)
|
100% |
575
9.91 IPS |
|
|
Machine Translation (HP)
|
100% |
501
8.62 IPS |
|
|
Machine Translation (Q)
|
98% |
517
8.93 IPS |
