ASUS System Product Name
Geekbench AI Score
29408
Single Precision Score
40654
Half Precision Score
26131
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 15 2026 04:40 PM |
| Views | 7 |
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. PRIME Z690M-PLUS D4 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600KF |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13525
2.52 KIPS |
|
|
Image Classification (HP)
|
100% |
15389
2.86 KIPS |
|
|
Image Classification (Q)
|
99% |
12845
2.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14079
228.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15875
257.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
17102
278.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
184773
215.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
562438
656.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
169682
198.8 IPS |
|
|
Object Detection (SP)
|
100% |
13577
1.08 KIPS |
|
|
Object Detection (HP)
|
99% |
17903
1.42 KIPS |
|
|
Object Detection (Q)
|
87% |
12635
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
43425
516.0 IPS |
|
|
Face Detection (HP)
|
100% |
50830
604.0 IPS |
|
|
Face Detection (Q)
|
97% |
41398
493.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
81321
626.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
119802
923.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
68179
546.4 IPS |
|
|
Style Transfer (SP)
|
100% |
347323
446.5 IPS |
|
|
Style Transfer (HP)
|
100% |
607748
781.3 IPS |
|
|
Style Transfer (Q)
|
98% |
318811
411.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45591
1.68 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
69512
2.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38489
1.43 KIPS |
|
|
Text Classification (SP)
|
100% |
4104
5.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4514
6.03 KIPS |
|
|
Text Classification (Q)
|
97% |
3032
4.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
4414
76.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4318
74.4 IPS |
|
|
Machine Translation (Q)
|
70% |
3002
56.3 IPS |
