MacBook Pro (16-inch Late 2019)
Geekbench AI Score
881
Single Precision Score
663
Half Precision Score
454
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | Helwar |
| Upload Date | September 28 2024 09:53 PM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-9980HK |
| 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 i9-9980HK |
| 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 | 64.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
417
77.5 IPS |
|
|
Image Classification (HP)
|
100% |
322
59.9 IPS |
|
|
Image Classification (Q)
|
96% |
177
33.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
510
8.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
404
6.55 IPS |
|
|
Image Segmentation (Q)
|
99% |
279
4.53 IPS |
|
|
Pose Estimation (SP)
|
100% |
2433
2.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
758
0.88 IPS |
|
|
Pose Estimation (Q)
|
96% |
678
0.79 IPS |
|
|
Object Detection (SP)
|
100% |
462
36.6 IPS |
|
|
Object Detection (HP)
|
100% |
362
28.7 IPS |
|
|
Object Detection (Q)
|
92% |
211
16.9 IPS |
|
|
Face Detection (SP)
|
100% |
1032
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
846
10.1 IPS |
|
|
Face Detection (Q)
|
100% |
339
4.03 IPS |
|
|
Depth Estimation (SP)
|
100% |
1331
10.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1135
8.74 IPS |
|
|
Depth Estimation (Q)
|
85% |
703
5.49 IPS |
|
|
Style Transfer (SP)
|
100% |
3534
4.54 IPS |
|
|
Style Transfer (HP)
|
100% |
3081
3.96 IPS |
|
|
Style Transfer (Q)
|
96% |
2347
3.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1568
57.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
660
24.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
408
15.1 IPS |
|
|
Text Classification (SP)
|
100% |
445
594.5 IPS |
|
|
Text Classification (HP)
|
100% |
454
606.2 IPS |
|
|
Text Classification (Q)
|
93% |
449
602.9 IPS |
|
|
Machine Translation (SP)
|
100% |
349
6.01 IPS |
|
|
Machine Translation (HP)
|
100% |
523
9.01 IPS |
|
|
Machine Translation (Q)
|
98% |
525
9.08 IPS |
