ASUS System Product Name
Geekbench AI Score
36712
Single Precision Score
41216
Half Precision Score
29599
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 28 2024 04:17 AM |
| Views | 2 |
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. ROG STRIX X670E-I GAMING 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16228
3.02 KIPS |
|
|
Image Classification (HP)
|
100% |
17349
3.23 KIPS |
|
|
Image Classification (Q)
|
99% |
14094
2.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22308
361.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
20723
335.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
20774
337.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
282755
329.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
393753
459.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
250108
293.0 IPS |
|
|
Object Detection (SP)
|
100% |
18585
1.47 KIPS |
|
|
Object Detection (HP)
|
99% |
19963
1.58 KIPS |
|
|
Object Detection (Q)
|
87% |
16479
1.32 KIPS |
|
|
Face Detection (SP)
|
100% |
47377
562.9 IPS |
|
|
Face Detection (HP)
|
100% |
52040
618.3 IPS |
|
|
Face Detection (Q)
|
97% |
42088
501.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
79110
609.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
97154
748.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
63087
505.6 IPS |
|
|
Style Transfer (SP)
|
100% |
457353
587.9 IPS |
|
|
Style Transfer (HP)
|
100% |
643546
827.3 IPS |
|
|
Style Transfer (Q)
|
98% |
403265
520.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53582
1.98 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
62909
2.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42689
1.58 KIPS |
|
|
Text Classification (SP)
|
100% |
4971
6.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4714
6.29 KIPS |
|
|
Text Classification (Q)
|
97% |
3137
4.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
5120
88.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5189
89.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2983
56.0 IPS |
