MacBook Pro (16-inch Late 2019)
Geekbench AI Score
913
Single Precision Score
692
Half Precision Score
462
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | Metalnib |
| Upload Date | March 06 2025 05:13 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-9980HK |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
459
85.3 IPS |
|
|
Image Classification (HP)
|
100% |
345
64.1 IPS |
|
|
Image Classification (Q)
|
96% |
191
35.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
541
8.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
449
7.27 IPS |
|
|
Image Segmentation (Q)
|
99% |
318
5.16 IPS |
|
|
Pose Estimation (SP)
|
100% |
2693
3.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
851
0.99 IPS |
|
|
Pose Estimation (Q)
|
96% |
702
0.82 IPS |
|
|
Object Detection (SP)
|
100% |
474
37.6 IPS |
|
|
Object Detection (HP)
|
100% |
371
29.4 IPS |
|
|
Object Detection (Q)
|
92% |
224
17.9 IPS |
|
|
Face Detection (SP)
|
100% |
1046
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
852
10.1 IPS |
|
|
Face Detection (Q)
|
100% |
354
4.21 IPS |
|
|
Depth Estimation (SP)
|
100% |
1425
11.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1276
9.83 IPS |
|
|
Depth Estimation (Q)
|
85% |
713
5.57 IPS |
|
|
Style Transfer (SP)
|
100% |
3698
4.75 IPS |
|
|
Style Transfer (HP)
|
100% |
3328
4.28 IPS |
|
|
Style Transfer (Q)
|
96% |
2166
2.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1546
57.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
653
24.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
381
14.1 IPS |
|
|
Text Classification (SP)
|
100% |
410
546.7 IPS |
|
|
Text Classification (HP)
|
100% |
402
536.5 IPS |
|
|
Text Classification (Q)
|
93% |
401
538.2 IPS |
|
|
Machine Translation (SP)
|
100% |
364
6.26 IPS |
|
|
Machine Translation (HP)
|
100% |
549
9.45 IPS |
|
|
Machine Translation (Q)
|
98% |
560
9.68 IPS |
