MacBook Pro (16-inch Late 2019)
Geekbench AI Score
3048
Single Precision Score
3027
Half Precision Score
910
Quantized Score
Geekbench AI 1.3.0 for macOS AVX2
Result Information
| Upload Date | April 14 2025 03:58 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 5300M |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 32.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2430
452.0 IPS |
|
|
Image Classification (HP)
|
100% |
2581
480.0 IPS |
|
|
Image Classification (Q)
|
96% |
120
22.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
351
5.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
324
5.26 IPS |
|
|
Image Segmentation (Q)
|
99% |
188
3.04 IPS |
|
|
Pose Estimation (SP)
|
100% |
15948
18.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
14486
16.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
2220
2.60 IPS |
|
|
Object Detection (SP)
|
100% |
2472
196.1 IPS |
|
|
Object Detection (HP)
|
100% |
2272
180.2 IPS |
|
|
Object Detection (Q)
|
92% |
109
8.69 IPS |
|
|
Face Detection (SP)
|
100% |
7733
91.9 IPS |
|
|
Face Detection (HP)
|
100% |
7585
90.1 IPS |
|
|
Face Detection (Q)
|
100% |
220
2.62 IPS |
|
|
Depth Estimation (SP)
|
100% |
10714
82.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
11134
85.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
9874
77.2 IPS |
|
|
Style Transfer (SP)
|
100% |
28641
36.8 IPS |
|
|
Style Transfer (HP)
|
100% |
28316
36.4 IPS |
|
|
Style Transfer (Q)
|
96% |
36898
47.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4823
178.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6011
222.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5549
204.9 IPS |
|
|
Text Classification (SP)
|
100% |
337
449.3 IPS |
|
|
Text Classification (HP)
|
100% |
416
555.1 IPS |
|
|
Text Classification (Q)
|
93% |
395
530.7 IPS |
|
|
Machine Translation (SP)
|
100% |
535
9.21 IPS |
|
|
Machine Translation (HP)
|
100% |
393
6.77 IPS |
|
|
Machine Translation (Q)
|
98% |
409
7.07 IPS |
