MacBook Pro (16-inch Late 2019)
Geekbench AI Score
844
Single Precision Score
111
Half Precision Score
88
Quantized Score
Geekbench AI 1.4.0 for macOS AVX2
Result Information
| Upload Date | July 17 2025 10:31 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-9980HK |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
447
83.2 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
519
8.41 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2489
2.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
805
0.94 IPS |
|
|
Pose Estimation (Q)
|
96% |
670
0.79 IPS |
|
|
Object Detection (SP)
|
100% |
438
34.7 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
903
10.7 IPS |
|
|
Face Detection (HP)
|
100% |
747
8.87 IPS |
|
|
Face Detection (Q)
|
100% |
319
3.79 IPS |
|
|
Depth Estimation (SP)
|
100% |
1287
9.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
1092
8.42 IPS |
|
|
Depth Estimation (Q)
|
85% |
649
5.07 IPS |
|
|
Style Transfer (SP)
|
100% |
3050
3.92 IPS |
|
|
Style Transfer (HP)
|
100% |
3011
3.87 IPS |
|
|
Style Transfer (Q)
|
96% |
2406
3.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1448
53.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
640
23.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
374
13.8 IPS |
|
|
Text Classification (SP)
|
100% |
425
567.5 IPS |
|
|
Text Classification (HP)
|
100% |
446
595.9 IPS |
|
|
Text Classification (Q)
|
93% |
453
607.6 IPS |
|
|
Machine Translation (SP)
|
100% |
333
5.74 IPS |
|
|
Machine Translation (HP)
|
100% |
523
9.00 IPS |
|
|
Machine Translation (Q)
|
98% |
513
8.87 IPS |
