MacBook Pro (16-inch Late 2019)
Geekbench AI Score
3291
Single Precision Score
3460
Half Precision Score
409
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | CircuitSphere |
| Upload Date | September 07 2024 10:15 AM |
| Views | 2 |
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% |
2971
552.6 IPS |
|
|
Image Classification (HP)
|
100% |
2813
523.1 IPS |
|
|
Image Classification (Q)
|
96% |
133
24.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
348
5.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
352
5.71 IPS |
|
|
Image Segmentation (Q)
|
99% |
209
3.39 IPS |
|
|
Pose Estimation (SP)
|
100% |
17897
20.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
19459
22.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
1995
2.34 IPS |
|
|
Object Detection (SP)
|
100% |
2711
215.0 IPS |
|
|
Object Detection (HP)
|
100% |
2684
212.9 IPS |
|
|
Object Detection (Q)
|
92% |
157
12.5 IPS |
|
|
Face Detection (SP)
|
100% |
9723
115.5 IPS |
|
|
Face Detection (HP)
|
100% |
10397
123.5 IPS |
|
|
Face Detection (Q)
|
100% |
232
2.75 IPS |
|
|
Depth Estimation (SP)
|
100% |
12147
93.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
11539
88.9 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
84.4 IPS |
|
|
Style Transfer (SP)
|
100% |
33593
43.2 IPS |
|
|
Style Transfer (HP)
|
100% |
35693
45.9 IPS |
|
|
Style Transfer (Q)
|
96% |
46393
59.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4052
149.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7005
258.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7148
263.9 IPS |
|
|
Text Classification (SP)
|
100% |
346
462.2 IPS |
|
|
Text Classification (HP)
|
100% |
382
510.3 IPS |
|
|
Text Classification (Q)
|
93% |
473
635.4 IPS |
|
|
Machine Translation (SP)
|
100% |
535
9.21 IPS |
|
|
Machine Translation (HP)
|
100% |
415
7.15 IPS |
|
|
Machine Translation (Q)
|
98% |
422
7.29 IPS |
