MacBook Pro (16-inch Late 2019)
Geekbench AI Score
979
Single Precision Score
701
Half Precision Score
482
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| Upload Date | September 18 2024 03:03 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-9880H |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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% |
453
84.3 IPS |
|
|
Image Classification (HP)
|
100% |
340
63.3 IPS |
|
|
Image Classification (Q)
|
96% |
189
35.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
530
8.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
438
7.11 IPS |
|
|
Image Segmentation (Q)
|
99% |
313
5.07 IPS |
|
|
Pose Estimation (SP)
|
100% |
3146
3.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
874
1.02 IPS |
|
|
Pose Estimation (Q)
|
96% |
768
0.90 IPS |
|
|
Object Detection (SP)
|
100% |
467
37.1 IPS |
|
|
Object Detection (HP)
|
100% |
379
30.1 IPS |
|
|
Object Detection (Q)
|
92% |
223
17.8 IPS |
|
|
Face Detection (SP)
|
100% |
1090
13.0 IPS |
|
|
Face Detection (HP)
|
100% |
833
9.90 IPS |
|
|
Face Detection (Q)
|
100% |
346
4.11 IPS |
|
|
Depth Estimation (SP)
|
100% |
1573
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1239
9.55 IPS |
|
|
Depth Estimation (Q)
|
85% |
766
5.99 IPS |
|
|
Style Transfer (SP)
|
100% |
4854
6.24 IPS |
|
|
Style Transfer (HP)
|
100% |
3479
4.47 IPS |
|
|
Style Transfer (Q)
|
96% |
2623
3.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1719
63.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
678
25.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
408
15.1 IPS |
|
|
Text Classification (SP)
|
100% |
459
613.1 IPS |
|
|
Text Classification (HP)
|
100% |
453
604.8 IPS |
|
|
Text Classification (Q)
|
93% |
453
607.7 IPS |
|
|
Machine Translation (SP)
|
100% |
351
6.05 IPS |
|
|
Machine Translation (HP)
|
100% |
532
9.17 IPS |
|
|
Machine Translation (Q)
|
98% |
529
9.14 IPS |
