ASUS System Product Name
Geekbench AI Score
29395
Single Precision Score
39883
Half Precision Score
26430
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | gmn17 |
| Upload Date | February 21 2026 09:54 AM |
| Views | 5 |
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% |
13358
2.48 KIPS |
|
|
Image Classification (HP)
|
100% |
14788
2.75 KIPS |
|
|
Image Classification (Q)
|
99% |
12734
2.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14643
237.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
16550
268.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
17522
284.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
206336
240.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
565007
659.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
185170
216.9 IPS |
|
|
Object Detection (SP)
|
100% |
13092
1.04 KIPS |
|
|
Object Detection (HP)
|
99% |
16505
1.31 KIPS |
|
|
Object Detection (Q)
|
87% |
12380
994.2 IPS |
|
|
Face Detection (SP)
|
100% |
37126
441.1 IPS |
|
|
Face Detection (HP)
|
100% |
42399
503.8 IPS |
|
|
Face Detection (Q)
|
97% |
35916
428.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
81623
628.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
120517
928.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
68914
552.3 IPS |
|
|
Style Transfer (SP)
|
100% |
364733
468.9 IPS |
|
|
Style Transfer (HP)
|
100% |
619179
796.0 IPS |
|
|
Style Transfer (Q)
|
98% |
334786
431.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46689
1.72 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
70596
2.61 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40312
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
3644
4.86 KIPS |
|
|
Text Classification (HP)
|
100% |
4034
5.38 KIPS |
|
|
Text Classification (Q)
|
97% |
2990
4.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
4849
83.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4952
85.3 IPS |
|
|
Machine Translation (Q)
|
70% |
3257
61.1 IPS |
