MacBook Pro (16-inch Late 2019)
Geekbench AI Score
959
Single Precision Score
705
Half Precision Score
469
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | starkAhmed43 |
| Upload Date | September 14 2025 03:08 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-9980HK |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A353) |
| 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% |
463
86.2 IPS |
|
|
Image Classification (HP)
|
100% |
347
64.6 IPS |
|
|
Image Classification (Q)
|
96% |
193
36.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
539
8.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
437
7.09 IPS |
|
|
Image Segmentation (Q)
|
99% |
304
4.93 IPS |
|
|
Pose Estimation (SP)
|
100% |
2697
3.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
858
1.00 IPS |
|
|
Pose Estimation (Q)
|
96% |
737
0.86 IPS |
|
|
Object Detection (SP)
|
100% |
465
36.9 IPS |
|
|
Object Detection (HP)
|
100% |
371
29.4 IPS |
|
|
Object Detection (Q)
|
92% |
215
17.2 IPS |
|
|
Face Detection (SP)
|
100% |
1048
12.5 IPS |
|
|
Face Detection (HP)
|
100% |
846
10.0 IPS |
|
|
Face Detection (Q)
|
100% |
348
4.14 IPS |
|
|
Depth Estimation (SP)
|
100% |
1355
10.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1222
9.42 IPS |
|
|
Depth Estimation (Q)
|
85% |
765
5.99 IPS |
|
|
Style Transfer (SP)
|
100% |
3603
4.63 IPS |
|
|
Style Transfer (HP)
|
100% |
3508
4.51 IPS |
|
|
Style Transfer (Q)
|
96% |
2140
2.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1561
57.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
649
24.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
354
13.1 IPS |
|
|
Text Classification (SP)
|
100% |
404
539.9 IPS |
|
|
Text Classification (HP)
|
100% |
454
605.9 IPS |
|
|
Text Classification (Q)
|
93% |
471
632.1 IPS |
|
|
Machine Translation (SP)
|
100% |
653
11.3 IPS |
|
|
Machine Translation (HP)
|
100% |
591
10.2 IPS |
|
|
Machine Translation (Q)
|
98% |
588
10.2 IPS |
