ASUS System Product Name
Geekbench AI Score
28894
Single Precision Score
40392
Half Precision Score
23199
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 29 2026 06:40 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% |
11456
2.13 KIPS |
|
|
Image Classification (HP)
|
99% |
15338
2.86 KIPS |
|
|
Image Classification (Q)
|
100% |
10180
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15139
245.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
17966
291.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
14437
234.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
250798
292.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
462569
539.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
221953
260.1 IPS |
|
|
Object Detection (SP)
|
100% |
13516
1.07 KIPS |
|
|
Object Detection (HP)
|
100% |
17776
1.41 KIPS |
|
|
Object Detection (Q)
|
85% |
11984
964.0 IPS |
|
|
Face Detection (SP)
|
100% |
35822
425.6 IPS |
|
|
Face Detection (HP)
|
100% |
44577
529.7 IPS |
|
|
Face Detection (Q)
|
97% |
31884
380.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
73904
569.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
136493
1.05 KIPS |
|
|
Depth Estimation (Q)
|
78% |
58153
464.4 IPS |
|
|
Style Transfer (SP)
|
100% |
367004
471.8 IPS |
|
|
Style Transfer (HP)
|
100% |
764437
982.7 IPS |
|
|
Style Transfer (Q)
|
98% |
325243
419.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49338
1.82 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
64293
2.37 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38412
1.42 KIPS |
|
|
Text Classification (SP)
|
100% |
3559
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
4271
5.70 KIPS |
|
|
Text Classification (Q)
|
97% |
2210
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
4044
69.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3995
68.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2257
42.3 IPS |
