MacBook Pro (16-inch Late 2019)
Geekbench AI Score
684
Single Precision Score
495
Half Precision Score
321
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | jonvharrison |
| Upload Date | December 08 2024 05:33 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-9880H |
| 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 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 | 32.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
340
63.2 IPS |
|
|
Image Classification (HP)
|
100% |
246
45.8 IPS |
|
|
Image Classification (Q)
|
96% |
126
23.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
414
6.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
305
4.94 IPS |
|
|
Image Segmentation (Q)
|
99% |
198
3.21 IPS |
|
|
Pose Estimation (SP)
|
100% |
2211
2.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
580
0.68 IPS |
|
|
Pose Estimation (Q)
|
96% |
509
0.60 IPS |
|
|
Object Detection (SP)
|
100% |
347
27.6 IPS |
|
|
Object Detection (HP)
|
100% |
268
21.3 IPS |
|
|
Object Detection (Q)
|
92% |
147
11.7 IPS |
|
|
Face Detection (SP)
|
100% |
818
9.72 IPS |
|
|
Face Detection (HP)
|
100% |
652
7.75 IPS |
|
|
Face Detection (Q)
|
100% |
235
2.79 IPS |
|
|
Depth Estimation (SP)
|
100% |
1051
8.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
869
6.69 IPS |
|
|
Depth Estimation (Q)
|
85% |
507
3.96 IPS |
|
|
Style Transfer (SP)
|
100% |
2729
3.51 IPS |
|
|
Style Transfer (HP)
|
100% |
2341
3.01 IPS |
|
|
Style Transfer (Q)
|
96% |
1706
2.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1232
45.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
497
18.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
278
10.3 IPS |
|
|
Text Classification (SP)
|
100% |
283
378.3 IPS |
|
|
Text Classification (HP)
|
100% |
278
371.5 IPS |
|
|
Text Classification (Q)
|
93% |
276
370.9 IPS |
|
|
Machine Translation (SP)
|
100% |
257
4.42 IPS |
|
|
Machine Translation (HP)
|
100% |
415
7.14 IPS |
|
|
Machine Translation (Q)
|
98% |
411
7.10 IPS |
