ASUS System Product Name
Geekbench AI Score
31547
Single Precision Score
42802
Half Precision Score
27026
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | gmn17 |
| Upload Date | February 24 2026 12:54 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG ZENITH II EXTREME |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper 3960X |
| Topology | 1 Processor, 24 Cores, 48 Threads |
| Identifier | AuthenticAMD Family 23 Model 49 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 24 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14483
2.69 KIPS |
|
|
Image Classification (HP)
|
100% |
15703
2.92 KIPS |
|
|
Image Classification (Q)
|
99% |
13034
2.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18582
301.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
21518
348.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
18108
294.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
207176
241.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
575262
671.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
186727
218.7 IPS |
|
|
Object Detection (SP)
|
100% |
13626
1.08 KIPS |
|
|
Object Detection (HP)
|
99% |
17220
1.37 KIPS |
|
|
Object Detection (Q)
|
87% |
12492
1.00 KIPS |
|
|
Face Detection (SP)
|
100% |
37732
448.3 IPS |
|
|
Face Detection (HP)
|
100% |
42646
506.7 IPS |
|
|
Face Detection (Q)
|
97% |
35752
426.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
83323
642.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
124373
958.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
69661
558.2 IPS |
|
|
Style Transfer (SP)
|
100% |
376524
484.0 IPS |
|
|
Style Transfer (HP)
|
100% |
651288
837.2 IPS |
|
|
Style Transfer (Q)
|
98% |
339526
437.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
50060
1.85 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
76867
2.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40649
1.51 KIPS |
|
|
Text Classification (SP)
|
100% |
4182
5.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4489
5.99 KIPS |
|
|
Text Classification (Q)
|
97% |
3203
4.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
5186
89.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5173
89.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3431
64.4 IPS |
