ASUS System Product Name
Geekbench AI Score
34385
Single Precision Score
38658
Half Precision Score
27187
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 03 2024 01:35 AM |
| Views | 7 |
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. PRIME B650M-A WIFI II |
| Power Plan | Hy ytelse |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14027
2.61 KIPS |
|
|
Image Classification (HP)
|
100% |
15159
2.82 KIPS |
|
|
Image Classification (Q)
|
100% |
11877
2.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22157
359.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
20611
334.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
20711
336.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
287422
335.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
391937
457.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
253583
297.1 IPS |
|
|
Object Detection (SP)
|
100% |
15821
1.25 KIPS |
|
|
Object Detection (HP)
|
99% |
18112
1.44 KIPS |
|
|
Object Detection (Q)
|
89% |
14349
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
43213
513.5 IPS |
|
|
Face Detection (HP)
|
100% |
48248
573.3 IPS |
|
|
Face Detection (Q)
|
97% |
36912
440.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
74939
577.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
89585
690.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
63687
513.5 IPS |
|
|
Style Transfer (SP)
|
100% |
456650
587.0 IPS |
|
|
Style Transfer (HP)
|
100% |
640995
824.0 IPS |
|
|
Style Transfer (Q)
|
98% |
407337
525.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53215
1.96 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
59548
2.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40467
1.50 KIPS |
|
|
Text Classification (SP)
|
100% |
4231
5.65 KIPS |
|
|
Text Classification (HP)
|
100% |
4127
5.51 KIPS |
|
|
Text Classification (Q)
|
97% |
2771
3.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
4910
84.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4936
85.0 IPS |
|
|
Machine Translation (Q)
|
60% |
2296
51.2 IPS |
