MacBook Pro (16-inch Late 2019)
Geekbench AI Score
737
Single Precision Score
92
Half Precision Score
76
Quantized Score
Geekbench AI 1.3.0 for macOS AVX2
Result Information
| Upload Date | May 15 2025 09:54 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-9750H |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 16.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
360
66.9 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
386
6.26 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2427
2.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
563
0.66 IPS |
|
|
Pose Estimation (Q)
|
96% |
480
0.56 IPS |
|
|
Object Detection (SP)
|
100% |
340
27.0 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
885
10.5 IPS |
|
|
Face Detection (HP)
|
100% |
641
7.62 IPS |
|
|
Face Detection (Q)
|
100% |
282
3.35 IPS |
|
|
Depth Estimation (SP)
|
100% |
1067
8.22 IPS |
|
|
Depth Estimation (HP)
|
99% |
784
6.04 IPS |
|
|
Depth Estimation (Q)
|
85% |
541
4.23 IPS |
|
|
Style Transfer (SP)
|
100% |
3100
3.98 IPS |
|
|
Style Transfer (HP)
|
100% |
2035
2.62 IPS |
|
|
Style Transfer (Q)
|
96% |
1686
2.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1202
44.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
436
16.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
300
11.1 IPS |
|
|
Text Classification (SP)
|
100% |
372
496.8 IPS |
|
|
Text Classification (HP)
|
100% |
396
527.9 IPS |
|
|
Text Classification (Q)
|
93% |
396
531.7 IPS |
|
|
Machine Translation (SP)
|
100% |
318
5.48 IPS |
|
|
Machine Translation (HP)
|
100% |
458
7.90 IPS |
|
|
Machine Translation (Q)
|
98% |
484
8.36 IPS |
