MacBook Pro (16-inch Late 2019)
Geekbench AI Score
626
Single Precision Score
1507
Half Precision Score
448
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| Upload Date | December 23 2024 08:16 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 5300M |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
2405
447.3 IPS |
|
|
Image Classification (HP)
|
100% |
2581
480.0 IPS |
|
|
Image Classification (Q)
|
96% |
129
24.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
289
4.68 IPS |
|
|
Image Segmentation (HP)
|
100% |
290
4.70 IPS |
|
|
Image Segmentation (Q)
|
99% |
193
3.14 IPS |
|
|
Pose Estimation (SP)
|
100% |
16033
18.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
14645
17.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
1933
2.27 IPS |
|
|
Object Detection (SP)
|
100% |
2395
190.0 IPS |
|
|
Object Detection (HP)
|
100% |
2325
184.4 IPS |
|
|
Object Detection (Q)
|
92% |
144
11.5 IPS |
|
|
Face Detection (SP)
|
100% |
8914
105.9 IPS |
|
|
Face Detection (HP)
|
100% |
8874
105.4 IPS |
|
|
Face Detection (Q)
|
100% |
181
2.15 IPS |
|
|
Depth Estimation (SP)
|
6% |
9
13.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1647
12.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
1527
11.9 IPS |
|
|
Style Transfer (SP)
|
22% |
119
4.49 IPS |
|
|
Style Transfer (HP)
|
100% |
3410
4.38 IPS |
|
|
Style Transfer (Q)
|
96% |
4317
5.57 IPS |
|
|
Image Super-Resolution (SP)
|
52% |
516
33.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
888
32.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
819
30.3 IPS |
|
|
Text Classification (SP)
|
96% |
276
370.3 IPS |
|
|
Text Classification (HP)
|
100% |
278
371.4 IPS |
|
|
Text Classification (Q)
|
93% |
253
339.4 IPS |
|
|
Machine Translation (SP)
|
100% |
256
4.41 IPS |
|
|
Machine Translation (HP)
|
100% |
193
3.33 IPS |
|
|
Machine Translation (Q)
|
98% |
191
3.30 IPS |
