ASUS System Product Name
Geekbench AI Score
36404
Single Precision Score
41023
Half Precision Score
28760
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 27 2024 03:04 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X670E-PLUS WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16039
2.98 KIPS |
|
|
Image Classification (HP)
|
100% |
17289
3.22 KIPS |
|
|
Image Classification (Q)
|
100% |
13825
2.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21591
350.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
20173
327.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
19888
323.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
276337
322.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
397079
463.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
245882
288.1 IPS |
|
|
Object Detection (SP)
|
100% |
18175
1.44 KIPS |
|
|
Object Detection (HP)
|
99% |
19150
1.52 KIPS |
|
|
Object Detection (Q)
|
89% |
15412
1.23 KIPS |
|
|
Face Detection (SP)
|
100% |
42578
505.9 IPS |
|
|
Face Detection (HP)
|
100% |
46835
556.5 IPS |
|
|
Face Detection (Q)
|
97% |
36853
439.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
81561
628.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
94974
731.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
65012
524.2 IPS |
|
|
Style Transfer (SP)
|
100% |
463446
595.8 IPS |
|
|
Style Transfer (HP)
|
100% |
661827
850.8 IPS |
|
|
Style Transfer (Q)
|
98% |
413261
532.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55955
2.07 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
65733
2.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44577
1.65 KIPS |
|
|
Text Classification (SP)
|
100% |
5238
6.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5181
6.91 KIPS |
|
|
Text Classification (Q)
|
97% |
3335
4.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
4983
85.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5077
87.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2525
56.3 IPS |
