MacBook Pro (16-inch Late 2019)
Geekbench AI Score
882
Single Precision Score
746
Half Precision Score
520
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | tobyg |
| Upload Date | February 03 2025 04:36 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-9980HK |
| System Information | |
|---|---|
| Operating System | macOS 14.7.2 (Build 23H311) |
| Model | MacBook Pro (16-inch Late 2019) |
| Model ID | MacBookPro16,1 |
| Motherboard | Apple Inc. Mac-E1008331FDC96864 MacBookPro16,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9980HK |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 2.40 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% |
442
82.1 IPS |
|
|
Image Classification (HP)
|
100% |
319
59.4 IPS |
|
|
Image Classification (Q)
|
96% |
184
34.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
456
7.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
317
5.14 IPS |
|
|
Image Segmentation (Q)
|
99% |
281
4.56 IPS |
|
|
Pose Estimation (SP)
|
100% |
2714
3.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
2506
2.92 IPS |
|
|
Pose Estimation (Q)
|
96% |
1851
2.17 IPS |
|
|
Object Detection (SP)
|
100% |
432
34.2 IPS |
|
|
Object Detection (HP)
|
100% |
345
27.4 IPS |
|
|
Object Detection (Q)
|
92% |
211
16.8 IPS |
|
|
Face Detection (SP)
|
100% |
877
10.4 IPS |
|
|
Face Detection (HP)
|
100% |
743
8.83 IPS |
|
|
Face Detection (Q)
|
100% |
336
3.99 IPS |
|
|
Depth Estimation (SP)
|
100% |
1365
10.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1103
8.50 IPS |
|
|
Depth Estimation (Q)
|
86% |
713
5.57 IPS |
|
|
Style Transfer (SP)
|
100% |
3768
4.84 IPS |
|
|
Style Transfer (HP)
|
100% |
4059
5.22 IPS |
|
|
Style Transfer (Q)
|
96% |
2917
3.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1513
55.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
699
25.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
391
14.4 IPS |
|
|
Text Classification (SP)
|
100% |
488
651.0 IPS |
|
|
Text Classification (HP)
|
100% |
475
634.0 IPS |
|
|
Text Classification (Q)
|
93% |
481
645.6 IPS |
|
|
Machine Translation (SP)
|
100% |
362
6.23 IPS |
|
|
Machine Translation (HP)
|
100% |
554
9.54 IPS |
|
|
Machine Translation (Q)
|
98% |
552
9.54 IPS |
