Alienware Alienware Aurora R15
Geekbench AI Score
30585
Single Precision Score
44576
Half Precision Score
23835
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | muddybulldog |
| Upload Date | January 15 2025 01:36 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Alienware Alienware Aurora R15 |
| Motherboard | Alienware 049PDM |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700KF |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12328
2.29 KIPS |
|
|
Image Classification (HP)
|
99% |
17367
3.24 KIPS |
|
|
Image Classification (Q)
|
100% |
10678
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17805
288.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21869
354.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
16533
268.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
241083
281.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
456603
532.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
211366
247.6 IPS |
|
|
Object Detection (SP)
|
100% |
15101
1.20 KIPS |
|
|
Object Detection (HP)
|
100% |
21316
1.69 KIPS |
|
|
Object Detection (Q)
|
85% |
12961
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
39764
472.5 IPS |
|
|
Face Detection (HP)
|
100% |
51403
610.8 IPS |
|
|
Face Detection (Q)
|
97% |
34967
417.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
69868
538.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
142396
1.10 KIPS |
|
|
Depth Estimation (Q)
|
78% |
55565
443.7 IPS |
|
|
Style Transfer (SP)
|
100% |
367256
472.1 IPS |
|
|
Style Transfer (HP)
|
100% |
812291
1.04 KIPS |
|
|
Style Transfer (Q)
|
98% |
323829
417.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51394
1.90 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
68565
2.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38696
1.43 KIPS |
|
|
Text Classification (SP)
|
100% |
3728
4.98 KIPS |
|
|
Text Classification (HP)
|
99% |
4547
6.07 KIPS |
|
|
Text Classification (Q)
|
97% |
2191
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
4586
79.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4521
77.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2294
43.0 IPS |
