ASUS System Product Name
Geekbench AI Score
34455
Single Precision Score
38255
Half Precision Score
26904
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 09 2024 08:53 AM |
| Views | 3 |
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 | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13372
2.49 KIPS |
|
|
Image Classification (HP)
|
100% |
14670
2.73 KIPS |
|
|
Image Classification (Q)
|
100% |
11510
2.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22117
358.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
20341
329.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
20668
336.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
283813
331.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
392288
457.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
251558
294.8 IPS |
|
|
Object Detection (SP)
|
100% |
17618
1.40 KIPS |
|
|
Object Detection (HP)
|
99% |
17799
1.41 KIPS |
|
|
Object Detection (Q)
|
89% |
14059
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
42873
509.4 IPS |
|
|
Face Detection (HP)
|
100% |
47202
560.9 IPS |
|
|
Face Detection (Q)
|
97% |
37139
442.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
79104
609.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
92141
709.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
63615
512.9 IPS |
|
|
Style Transfer (SP)
|
100% |
456661
587.0 IPS |
|
|
Style Transfer (HP)
|
100% |
621330
798.7 IPS |
|
|
Style Transfer (Q)
|
98% |
403905
520.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51742
1.91 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
58307
2.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39205
1.45 KIPS |
|
|
Text Classification (SP)
|
100% |
4055
5.41 KIPS |
|
|
Text Classification (HP)
|
100% |
4086
5.45 KIPS |
|
|
Text Classification (Q)
|
97% |
2644
3.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
4908
84.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5005
86.2 IPS |
|
|
Machine Translation (Q)
|
60% |
2388
53.3 IPS |
