Apple Inc. MacBookPro16,1
Geekbench AI Score
1899
Single Precision Score
517
Half Precision Score
2065
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | bluetech |
| Upload Date | August 23 2024 06:48 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-9750H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Apple Inc. MacBookPro16,1 |
| Motherboard | Apple Inc. Mac-E1008331FDC96864 |
| Power Plan | Hchstleistung |
| 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 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
977
181.6 IPS |
|
|
Image Classification (HP)
|
100% |
95
17.6 IPS |
|
|
Image Classification (Q)
|
97% |
1591
297.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
784
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
146
2.36 IPS |
|
|
Image Segmentation (Q)
|
97% |
1098
17.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2918
3.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
3190
3.72 IPS |
|
|
Pose Estimation (Q)
|
87% |
6575
7.77 IPS |
|
|
Object Detection (SP)
|
100% |
1429
113.3 IPS |
|
|
Object Detection (HP)
|
100% |
135
10.7 IPS |
|
|
Object Detection (Q)
|
86% |
1252
100.6 IPS |
|
|
Face Detection (SP)
|
100% |
1869
22.2 IPS |
|
|
Face Detection (HP)
|
100% |
192
2.28 IPS |
|
|
Face Detection (Q)
|
96% |
2718
32.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4062
31.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
555
4.28 IPS |
|
|
Depth Estimation (Q)
|
76% |
3955
31.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9409
12.1 IPS |
|
|
Style Transfer (HP)
|
100% |
7108
9.14 IPS |
|
|
Style Transfer (Q)
|
87% |
10508
13.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1729
63.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1433
52.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2056
76.2 IPS |
|
|
Text Classification (SP)
|
100% |
1046
1.40 KIPS |
|
|
Text Classification (HP)
|
100% |
495
660.8 IPS |
|
|
Text Classification (Q)
|
97% |
319
426.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1483
25.5 IPS |
|
|
Machine Translation (HP)
|
100% |
426
7.34 IPS |
|
|
Machine Translation (Q)
|
60% |
1328
29.6 IPS |
