MacBook Pro (16-inch Late 2019)
Geekbench AI Score
760
Single Precision Score
619
Half Precision Score
445
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | Marix |
| Upload Date | September 20 2024 10:46 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-9750H |
| System Information | |
|---|---|
| Operating System | macOS 14.7 (Build 23H124) |
| 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 | 32.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
415
77.1 IPS |
|
|
Image Classification (HP)
|
100% |
295
54.9 IPS |
|
|
Image Classification (Q)
|
96% |
168
31.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
370
5.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
275
4.46 IPS |
|
|
Image Segmentation (Q)
|
99% |
241
3.90 IPS |
|
|
Pose Estimation (SP)
|
100% |
2467
2.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
1909
2.23 IPS |
|
|
Pose Estimation (Q)
|
96% |
1471
1.72 IPS |
|
|
Object Detection (SP)
|
100% |
407
32.3 IPS |
|
|
Object Detection (HP)
|
100% |
326
25.9 IPS |
|
|
Object Detection (Q)
|
92% |
195
15.6 IPS |
|
|
Face Detection (SP)
|
100% |
744
8.84 IPS |
|
|
Face Detection (HP)
|
100% |
609
7.24 IPS |
|
|
Face Detection (Q)
|
100% |
295
3.51 IPS |
|
|
Depth Estimation (SP)
|
100% |
1014
7.81 IPS |
|
|
Depth Estimation (HP)
|
99% |
772
5.94 IPS |
|
|
Depth Estimation (Q)
|
86% |
534
4.17 IPS |
|
|
Style Transfer (SP)
|
100% |
3212
4.13 IPS |
|
|
Style Transfer (HP)
|
100% |
3111
4.00 IPS |
|
|
Style Transfer (Q)
|
96% |
2352
3.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1032
38.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
446
16.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
284
10.5 IPS |
|
|
Text Classification (SP)
|
100% |
459
612.2 IPS |
|
|
Text Classification (HP)
|
100% |
459
612.1 IPS |
|
|
Text Classification (Q)
|
93% |
458
614.5 IPS |
|
|
Machine Translation (SP)
|
100% |
364
6.26 IPS |
|
|
Machine Translation (HP)
|
100% |
553
9.52 IPS |
|
|
Machine Translation (Q)
|
98% |
548
9.47 IPS |
