ASUS System Product Name
Geekbench AI Score
34997
Single Precision Score
52786
Half Precision Score
26630
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 15 2026 01:23 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. Pro WS TRX50-SAGE WIFI |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper 7970X |
| Topology | 1 Processor, 32 Cores, 64 Threads |
| Identifier | AuthenticAMD Family 25 Model 24 Stepping 1 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 32 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13255
2.46 KIPS |
|
|
Image Classification (HP)
|
99% |
18923
3.53 KIPS |
|
|
Image Classification (Q)
|
100% |
11434
2.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25214
408.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
34555
560.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
22873
371.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
254211
296.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
513564
599.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
225218
263.9 IPS |
|
|
Object Detection (SP)
|
100% |
16960
1.35 KIPS |
|
|
Object Detection (HP)
|
100% |
24820
1.97 KIPS |
|
|
Object Detection (Q)
|
85% |
14501
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
50938
605.3 IPS |
|
|
Face Detection (HP)
|
100% |
69568
826.6 IPS |
|
|
Face Detection (Q)
|
97% |
43463
518.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
76991
593.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
155430
1.20 KIPS |
|
|
Depth Estimation (Q)
|
78% |
58875
470.2 IPS |
|
|
Style Transfer (SP)
|
100% |
388981
500.0 IPS |
|
|
Style Transfer (HP)
|
100% |
903441
1.16 KIPS |
|
|
Style Transfer (Q)
|
98% |
335983
433.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53954
1.99 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
73667
2.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40609
1.50 KIPS |
|
|
Text Classification (SP)
|
100% |
3602
4.81 KIPS |
|
|
Text Classification (HP)
|
99% |
4376
5.84 KIPS |
|
|
Text Classification (Q)
|
97% |
2187
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
6453
111.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6399
110.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2751
51.6 IPS |
