ASUS System Product Name
Geekbench AI Score
26319
Single Precision Score
40491
Half Precision Score
22472
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 20 2025 10:11 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9060 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B650M-A WIFI II |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12764
2.37 KIPS |
|
|
Image Classification (HP)
|
100% |
16190
3.01 KIPS |
|
|
Image Classification (Q)
|
100% |
12392
2.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12097
196.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
14880
241.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
16599
269.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
136941
159.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
454289
530.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
117834
138.0 IPS |
|
|
Object Detection (SP)
|
100% |
11205
888.8 IPS |
|
|
Object Detection (HP)
|
99% |
17139
1.36 KIPS |
|
|
Object Detection (Q)
|
87% |
10427
837.4 IPS |
|
|
Face Detection (SP)
|
100% |
33137
393.7 IPS |
|
|
Face Detection (HP)
|
100% |
47508
564.5 IPS |
|
|
Face Detection (Q)
|
97% |
28523
340.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
68971
531.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
97365
750.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
57195
458.7 IPS |
|
|
Style Transfer (SP)
|
100% |
250581
322.1 IPS |
|
|
Style Transfer (HP)
|
100% |
495155
636.5 IPS |
|
|
Style Transfer (Q)
|
98% |
212880
274.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40555
1.50 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
76288
2.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33613
1.24 KIPS |
|
|
Text Classification (SP)
|
100% |
4496
6.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5261
7.02 KIPS |
|
|
Text Classification (Q)
|
97% |
3242
4.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
6446
111.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6871
118.4 IPS |
|
|
Machine Translation (Q)
|
70% |
3435
64.4 IPS |
