MacBook Pro (16-inch Late 2019)
Geekbench AI Score
817
Single Precision Score
110
Half Precision Score
88
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| Upload Date | October 26 2025 06:57 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-9750H |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| Model | MacBook Pro (16-inch Late 2019) |
| Model ID | MacBookPro16,1 |
| Motherboard | Apple Inc. Mac-E1008331FDC96864 MacBookPro16,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
450
83.7 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
406
6.58 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2207
2.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
747
0.87 IPS |
|
|
Pose Estimation (Q)
|
96% |
678
0.79 IPS |
|
|
Object Detection (SP)
|
100% |
460
36.5 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
873
10.4 IPS |
|
|
Face Detection (HP)
|
100% |
715
8.50 IPS |
|
|
Face Detection (Q)
|
100% |
311
3.69 IPS |
|
|
Depth Estimation (SP)
|
100% |
1217
9.38 IPS |
|
|
Depth Estimation (HP)
|
99% |
1097
8.45 IPS |
|
|
Depth Estimation (Q)
|
85% |
686
5.36 IPS |
|
|
Style Transfer (SP)
|
100% |
3151
4.05 IPS |
|
|
Style Transfer (HP)
|
100% |
2885
3.71 IPS |
|
|
Style Transfer (Q)
|
96% |
2186
2.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1287
47.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
614
22.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
375
13.9 IPS |
|
|
Text Classification (SP)
|
100% |
464
619.1 IPS |
|
|
Text Classification (HP)
|
100% |
464
619.5 IPS |
|
|
Text Classification (Q)
|
93% |
459
615.7 IPS |
|
|
Machine Translation (SP)
|
100% |
361
6.21 IPS |
|
|
Machine Translation (HP)
|
100% |
574
9.89 IPS |
|
|
Machine Translation (Q)
|
98% |
568
9.82 IPS |
