MacBook Pro (16-inch Late 2019)
Geekbench AI Score
3048
Single Precision Score
3027
Half Precision Score
955
Quantized Score
Geekbench AI 1.3.0 for macOS AVX2
Result Information
| User | dengduck |
| Upload Date | May 06 2025 06:43 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 5300M |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| Model | MacBook Pro (16-inch Late 2019) |
| Model ID | MacBookPro16,1 |
| Motherboard | Apple Inc. Mac-E1008331FDC96864 MacBookPro16,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2356
438.1 IPS |
|
|
Image Classification (HP)
|
100% |
2366
440.0 IPS |
|
|
Image Classification (Q)
|
96% |
135
25.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
331
5.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
335
5.44 IPS |
|
|
Image Segmentation (Q)
|
99% |
193
3.13 IPS |
|
|
Pose Estimation (SP)
|
100% |
15522
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
14574
17.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
2174
2.55 IPS |
|
|
Object Detection (SP)
|
100% |
2337
185.4 IPS |
|
|
Object Detection (HP)
|
100% |
2268
179.9 IPS |
|
|
Object Detection (Q)
|
92% |
154
12.3 IPS |
|
|
Face Detection (SP)
|
100% |
9003
107.0 IPS |
|
|
Face Detection (HP)
|
100% |
8814
104.7 IPS |
|
|
Face Detection (Q)
|
100% |
208
2.48 IPS |
|
|
Depth Estimation (SP)
|
100% |
10682
82.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
10155
78.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
10039
78.5 IPS |
|
|
Style Transfer (SP)
|
100% |
28887
37.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28440
36.6 IPS |
|
|
Style Transfer (Q)
|
96% |
37000
47.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5351
197.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5757
212.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5435
200.7 IPS |
|
|
Text Classification (SP)
|
100% |
325
433.3 IPS |
|
|
Text Classification (HP)
|
100% |
434
579.9 IPS |
|
|
Text Classification (Q)
|
93% |
433
580.7 IPS |
|
|
Machine Translation (SP)
|
100% |
508
8.75 IPS |
|
|
Machine Translation (HP)
|
100% |
388
6.69 IPS |
|
|
Machine Translation (Q)
|
98% |
398
6.88 IPS |
