MacBook Pro (16-inch Late 2019)
Geekbench AI Score
923
Single Precision Score
652
Half Precision Score
451
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| User | Otsen |
| Upload Date | October 26 2025 03:56 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-9750H |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
445
82.7 IPS |
|
|
Image Classification (HP)
|
100% |
323
60.1 IPS |
|
|
Image Classification (Q)
|
96% |
176
32.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
387
6.27 IPS |
|
|
Image Segmentation (HP)
|
100% |
386
6.26 IPS |
|
|
Image Segmentation (Q)
|
99% |
260
4.22 IPS |
|
|
Pose Estimation (SP)
|
100% |
2619
3.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
761
0.89 IPS |
|
|
Pose Estimation (Q)
|
96% |
708
0.83 IPS |
|
|
Object Detection (SP)
|
100% |
426
33.8 IPS |
|
|
Object Detection (HP)
|
100% |
363
28.8 IPS |
|
|
Object Detection (Q)
|
92% |
213
17.0 IPS |
|
|
Face Detection (SP)
|
100% |
904
10.7 IPS |
|
|
Face Detection (HP)
|
100% |
715
8.50 IPS |
|
|
Face Detection (Q)
|
100% |
315
3.74 IPS |
|
|
Depth Estimation (SP)
|
100% |
1431
11.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1075
8.28 IPS |
|
|
Depth Estimation (Q)
|
85% |
688
5.38 IPS |
|
|
Style Transfer (SP)
|
100% |
4268
5.49 IPS |
|
|
Style Transfer (HP)
|
100% |
2978
3.83 IPS |
|
|
Style Transfer (Q)
|
96% |
2318
2.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1457
53.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
625
23.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
376
13.9 IPS |
|
|
Text Classification (SP)
|
100% |
487
650.5 IPS |
|
|
Text Classification (HP)
|
100% |
490
653.8 IPS |
|
|
Text Classification (Q)
|
93% |
488
655.2 IPS |
|
|
Machine Translation (SP)
|
100% |
597
10.3 IPS |
|
|
Machine Translation (HP)
|
100% |
576
9.91 IPS |
|
|
Machine Translation (Q)
|
98% |
549
9.49 IPS |
