Acidanthera MacBookPro16,3
Geekbench AI Score
7930
Single Precision Score
6592
Half Precision Score
5720
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 09 2024 09:01 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1660 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Acidanthera MacBookPro16,3 |
| Motherboard | Acidanthera Mac-E7203C0F68AA0004 |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 4800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3139
583.7 IPS |
|
|
Image Classification (HP)
|
100% |
2961
550.7 IPS |
|
|
Image Classification (Q)
|
100% |
2431
452.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
5202
84.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4522
73.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4453
72.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
39132
45.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
23591
27.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
34338
40.2 IPS |
|
|
Object Detection (SP)
|
100% |
3820
303.0 IPS |
|
|
Object Detection (HP)
|
100% |
3737
296.4 IPS |
|
|
Object Detection (Q)
|
89% |
2965
237.4 IPS |
|
|
Face Detection (SP)
|
100% |
8305
98.7 IPS |
|
|
Face Detection (HP)
|
100% |
7644
90.8 IPS |
|
|
Face Detection (Q)
|
97% |
6801
81.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
19870
153.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
15905
122.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
14839
119.4 IPS |
|
|
Style Transfer (SP)
|
100% |
66488
85.5 IPS |
|
|
Style Transfer (HP)
|
100% |
46427
59.7 IPS |
|
|
Style Transfer (Q)
|
98% |
56241
72.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12214
451.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9827
362.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8133
301.2 IPS |
|
|
Text Classification (SP)
|
100% |
1671
2.23 KIPS |
|
|
Text Classification (HP)
|
100% |
1308
1.75 KIPS |
|
|
Text Classification (Q)
|
97% |
893
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1800
31.0 IPS |
|
|
Machine Translation (HP)
|
98% |
1810
31.3 IPS |
|
|
Machine Translation (Q)
|
60% |
826
18.4 IPS |
