MacBook Pro (16-inch Late 2019)
Geekbench AI Score
854
Single Precision Score
628
Half Precision Score
439
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| Upload Date | December 23 2024 08:06 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-9750H |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
420
78.1 IPS |
|
|
Image Classification (HP)
|
100% |
319
59.3 IPS |
|
|
Image Classification (Q)
|
96% |
176
32.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
402
6.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
383
6.21 IPS |
|
|
Image Segmentation (Q)
|
99% |
275
4.46 IPS |
|
|
Pose Estimation (SP)
|
100% |
2677
3.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
764
0.89 IPS |
|
|
Pose Estimation (Q)
|
96% |
671
0.79 IPS |
|
|
Object Detection (SP)
|
100% |
435
34.5 IPS |
|
|
Object Detection (HP)
|
100% |
352
27.9 IPS |
|
|
Object Detection (Q)
|
92% |
208
16.6 IPS |
|
|
Face Detection (SP)
|
100% |
883
10.5 IPS |
|
|
Face Detection (HP)
|
100% |
700
8.31 IPS |
|
|
Face Detection (Q)
|
100% |
306
3.64 IPS |
|
|
Depth Estimation (SP)
|
100% |
1370
10.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1052
8.11 IPS |
|
|
Depth Estimation (Q)
|
85% |
677
5.29 IPS |
|
|
Style Transfer (SP)
|
100% |
3978
5.11 IPS |
|
|
Style Transfer (HP)
|
100% |
2851
3.66 IPS |
|
|
Style Transfer (Q)
|
96% |
2243
2.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1343
49.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
589
21.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
369
13.6 IPS |
|
|
Text Classification (SP)
|
100% |
467
623.5 IPS |
|
|
Text Classification (HP)
|
100% |
452
603.4 IPS |
|
|
Text Classification (Q)
|
93% |
446
599.1 IPS |
|
|
Machine Translation (SP)
|
100% |
348
5.99 IPS |
|
|
Machine Translation (HP)
|
100% |
524
9.03 IPS |
|
|
Machine Translation (Q)
|
98% |
522
9.02 IPS |
