ASUS System Product Name
Geekbench AI Score
29037
Single Precision Score
31551
Half Precision Score
22113
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | dimgod728 |
| Upload Date | December 12 2024 06:09 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6950 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING Z790-PLUS WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700K |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12942
2.41 KIPS |
|
|
Image Classification (HP)
|
100% |
12635
2.35 KIPS |
|
|
Image Classification (Q)
|
99% |
10498
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17036
276.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
14262
231.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
14408
234.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
198975
232.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
294878
344.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
160763
188.4 IPS |
|
|
Object Detection (SP)
|
100% |
13113
1.04 KIPS |
|
|
Object Detection (HP)
|
100% |
13018
1.03 KIPS |
|
|
Object Detection (Q)
|
87% |
10578
849.6 IPS |
|
|
Face Detection (SP)
|
100% |
36122
429.2 IPS |
|
|
Face Detection (HP)
|
100% |
38732
460.2 IPS |
|
|
Face Detection (Q)
|
97% |
29350
350.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
72115
555.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
78412
604.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
54666
439.0 IPS |
|
|
Style Transfer (SP)
|
100% |
351631
452.0 IPS |
|
|
Style Transfer (HP)
|
100% |
443353
569.9 IPS |
|
|
Style Transfer (Q)
|
98% |
277785
358.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42432
1.57 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
49760
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30790
1.14 KIPS |
|
|
Text Classification (SP)
|
100% |
4407
5.88 KIPS |
|
|
Text Classification (HP)
|
100% |
4538
6.06 KIPS |
|
|
Text Classification (Q)
|
97% |
2855
3.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
4325
74.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4649
80.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2775
52.0 IPS |
