ASUS System Product Name
Geekbench AI Score
34578
Single Precision Score
38711
Half Precision Score
27126
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 21 2024 03:18 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X670E-PLUS WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13733
2.55 KIPS |
|
|
Image Classification (HP)
|
100% |
14902
2.77 KIPS |
|
|
Image Classification (Q)
|
100% |
11933
2.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21933
355.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
20261
328.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
20509
333.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
280855
327.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
392191
457.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
248632
291.3 IPS |
|
|
Object Detection (SP)
|
100% |
17185
1.36 KIPS |
|
|
Object Detection (HP)
|
99% |
18381
1.46 KIPS |
|
|
Object Detection (Q)
|
89% |
13887
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
42599
506.2 IPS |
|
|
Face Detection (HP)
|
100% |
47381
563.0 IPS |
|
|
Face Detection (Q)
|
97% |
36520
435.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
78702
606.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
93903
723.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
62629
504.9 IPS |
|
|
Style Transfer (SP)
|
100% |
453575
583.1 IPS |
|
|
Style Transfer (HP)
|
100% |
626267
805.1 IPS |
|
|
Style Transfer (Q)
|
98% |
400859
516.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51117
1.89 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
58387
2.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41296
1.53 KIPS |
|
|
Text Classification (SP)
|
100% |
4275
5.71 KIPS |
|
|
Text Classification (HP)
|
100% |
4256
5.68 KIPS |
|
|
Text Classification (Q)
|
97% |
2867
3.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
5058
87.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5015
86.4 IPS |
|
|
Machine Translation (Q)
|
60% |
2352
52.5 IPS |
