ASUS System Product Name
Geekbench AI Score
34378
Single Precision Score
50269
Half Precision Score
26510
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 22 2025 03:50 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X670E-E GAMING WIFI |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13183
2.45 KIPS |
|
|
Image Classification (HP)
|
99% |
18362
3.42 KIPS |
|
|
Image Classification (Q)
|
100% |
11402
2.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21180
343.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
27287
442.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
20158
327.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
255028
297.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
483932
564.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
223822
262.2 IPS |
|
|
Object Detection (SP)
|
100% |
17585
1.39 KIPS |
|
|
Object Detection (HP)
|
100% |
25050
1.99 KIPS |
|
|
Object Detection (Q)
|
85% |
15069
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
48655
578.1 IPS |
|
|
Face Detection (HP)
|
100% |
63858
758.8 IPS |
|
|
Face Detection (Q)
|
97% |
41634
496.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
83695
644.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
153172
1.18 KIPS |
|
|
Depth Estimation (Q)
|
78% |
63816
509.6 IPS |
|
|
Style Transfer (SP)
|
100% |
390433
501.9 IPS |
|
|
Style Transfer (HP)
|
100% |
883424
1.14 KIPS |
|
|
Style Transfer (Q)
|
98% |
342732
441.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
56122
2.07 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
76934
2.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42259
1.56 KIPS |
|
|
Text Classification (SP)
|
100% |
3824
5.10 KIPS |
|
|
Text Classification (HP)
|
99% |
4756
6.35 KIPS |
|
|
Text Classification (Q)
|
97% |
2215
2.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
5398
93.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5366
92.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2595
48.7 IPS |
