MacBook Pro (16-inch Late 2019)
Geekbench AI Score
3324
Single Precision Score
3474
Half Precision Score
405
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | CircuitSphere |
| Upload Date | September 07 2024 10:26 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 5500M |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 16.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2952
549.0 IPS |
|
|
Image Classification (HP)
|
100% |
2941
547.0 IPS |
|
|
Image Classification (Q)
|
96% |
131
24.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
336
5.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
344
5.58 IPS |
|
|
Image Segmentation (Q)
|
99% |
199
3.22 IPS |
|
|
Pose Estimation (SP)
|
100% |
17993
21.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
19437
22.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
1983
2.32 IPS |
|
|
Object Detection (SP)
|
100% |
2692
213.5 IPS |
|
|
Object Detection (HP)
|
100% |
2666
211.5 IPS |
|
|
Object Detection (Q)
|
92% |
157
12.5 IPS |
|
|
Face Detection (SP)
|
100% |
9472
112.6 IPS |
|
|
Face Detection (HP)
|
100% |
9984
118.6 IPS |
|
|
Face Detection (Q)
|
100% |
225
2.67 IPS |
|
|
Depth Estimation (SP)
|
100% |
12304
94.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
12384
95.4 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
88.6 IPS |
|
|
Style Transfer (SP)
|
100% |
33972
43.7 IPS |
|
|
Style Transfer (HP)
|
100% |
36624
47.1 IPS |
|
|
Style Transfer (Q)
|
96% |
46793
60.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5440
200.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6890
254.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7394
273.0 IPS |
|
|
Text Classification (SP)
|
100% |
321
428.5 IPS |
|
|
Text Classification (HP)
|
100% |
379
505.4 IPS |
|
|
Text Classification (Q)
|
93% |
475
637.3 IPS |
|
|
Machine Translation (SP)
|
100% |
496
8.54 IPS |
|
|
Machine Translation (HP)
|
100% |
414
7.14 IPS |
|
|
Machine Translation (Q)
|
98% |
398
6.87 IPS |
