ASUS System Product Name
Geekbench AI Score
33717
Single Precision Score
49651
Half Precision Score
26164
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 13 2024 11:47 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z890-E GAMING WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13713
2.55 KIPS |
|
|
Image Classification (HP)
|
99% |
19365
3.61 KIPS |
|
|
Image Classification (Q)
|
100% |
11819
2.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21087
341.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
26403
428.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
19247
313.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
256287
299.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
481256
561.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
230025
269.5 IPS |
|
|
Object Detection (SP)
|
100% |
16724
1.33 KIPS |
|
|
Object Detection (HP)
|
100% |
23413
1.86 KIPS |
|
|
Object Detection (Q)
|
85% |
14414
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
46071
547.4 IPS |
|
|
Face Detection (HP)
|
100% |
60846
723.0 IPS |
|
|
Face Detection (Q)
|
97% |
40275
480.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
78188
602.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
155361
1.20 KIPS |
|
|
Depth Estimation (Q)
|
78% |
61302
489.5 IPS |
|
|
Style Transfer (SP)
|
100% |
392835
505.0 IPS |
|
|
Style Transfer (HP)
|
100% |
896393
1.15 KIPS |
|
|
Style Transfer (Q)
|
98% |
343999
443.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55397
2.05 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
74761
2.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40727
1.51 KIPS |
|
|
Text Classification (SP)
|
100% |
3668
4.90 KIPS |
|
|
Text Classification (HP)
|
99% |
4735
6.32 KIPS |
|
|
Text Classification (Q)
|
97% |
2191
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
5329
91.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5269
90.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2630
49.3 IPS |
