MacBook Pro (16-inch Late 2019)
Geekbench AI Score
923
Single Precision Score
708
Half Precision Score
491
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | burakozaydin |
| Upload Date | November 01 2024 12:59 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-9980HK |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
462
86.0 IPS |
|
|
Image Classification (HP)
|
100% |
347
64.5 IPS |
|
|
Image Classification (Q)
|
96% |
192
35.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
533
8.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
437
7.09 IPS |
|
|
Image Segmentation (Q)
|
99% |
318
5.15 IPS |
|
|
Pose Estimation (SP)
|
100% |
2503
2.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
835
0.97 IPS |
|
|
Pose Estimation (Q)
|
96% |
760
0.89 IPS |
|
|
Object Detection (SP)
|
100% |
479
38.0 IPS |
|
|
Object Detection (HP)
|
100% |
382
30.3 IPS |
|
|
Object Detection (Q)
|
92% |
225
17.9 IPS |
|
|
Face Detection (SP)
|
100% |
1061
12.6 IPS |
|
|
Face Detection (HP)
|
100% |
864
10.3 IPS |
|
|
Face Detection (Q)
|
100% |
358
4.25 IPS |
|
|
Depth Estimation (SP)
|
100% |
1387
10.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1249
9.62 IPS |
|
|
Depth Estimation (Q)
|
85% |
776
6.07 IPS |
|
|
Style Transfer (SP)
|
100% |
3665
4.71 IPS |
|
|
Style Transfer (HP)
|
100% |
3473
4.46 IPS |
|
|
Style Transfer (Q)
|
96% |
2660
3.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1645
60.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
690
25.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
419
15.5 IPS |
|
|
Text Classification (SP)
|
100% |
473
631.9 IPS |
|
|
Text Classification (HP)
|
100% |
466
622.6 IPS |
|
|
Text Classification (Q)
|
93% |
461
619.2 IPS |
|
|
Machine Translation (SP)
|
100% |
366
6.30 IPS |
|
|
Machine Translation (HP)
|
100% |
549
9.45 IPS |
|
|
Machine Translation (Q)
|
98% |
547
9.45 IPS |
