MacBook Pro (16-inch Late 2019)
Geekbench AI Score
631
Single Precision Score
89
Half Precision Score
78
Quantized Score
Geekbench AI 1.0.0 for macOS AVX2
Result Information
| Upload Date | October 26 2025 09:06 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-9980HK |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| 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% |
315
58.7 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
353
5.72 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
1618
1.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
504
0.59 IPS |
|
|
Pose Estimation (Q)
|
96% |
503
0.59 IPS |
|
|
Object Detection (SP)
|
100% |
342
27.1 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
774
9.20 IPS |
|
|
Face Detection (HP)
|
100% |
627
7.45 IPS |
|
|
Face Detection (Q)
|
100% |
248
2.94 IPS |
|
|
Depth Estimation (SP)
|
100% |
969
7.46 IPS |
|
|
Depth Estimation (HP)
|
99% |
760
5.86 IPS |
|
|
Depth Estimation (Q)
|
97% |
768
5.94 IPS |
|
|
Style Transfer (SP)
|
100% |
2550
3.28 IPS |
|
|
Style Transfer (HP)
|
100% |
2192
2.82 IPS |
|
|
Style Transfer (Q)
|
100% |
2071
2.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
916
33.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
417
15.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
275
10.2 IPS |
|
|
Text Classification (SP)
|
100% |
313
418.3 IPS |
|
|
Text Classification (HP)
|
100% |
320
427.6 IPS |
|
|
Text Classification (Q)
|
93% |
335
449.5 IPS |
|
|
Machine Translation (SP)
|
100% |
301
5.19 IPS |
|
|
Machine Translation (HP)
|
100% |
453
7.80 IPS |
|
|
Machine Translation (Q)
|
98% |
488
8.44 IPS |
