Wizard-2024 Radeon AI PRO R9700 ASUS System Product Name
Geekbench AI Score
36171
Single Precision Score
51633
Half Precision Score
32372
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | joslloyd |
| Upload Date | January 01 2026 08:12 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon AI PRO R9700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B650E-F GAMING WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17139
3.19 KIPS |
|
|
Image Classification (HP)
|
100% |
19682
3.66 KIPS |
|
|
Image Classification (Q)
|
99% |
16347
3.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20993
340.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
25262
409.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
27862
453.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
215568
251.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
700999
817.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
199947
234.2 IPS |
|
|
Object Detection (SP)
|
100% |
15534
1.23 KIPS |
|
|
Object Detection (HP)
|
99% |
22460
1.78 KIPS |
|
|
Object Detection (Q)
|
87% |
14591
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
59799
710.5 IPS |
|
|
Face Detection (HP)
|
100% |
67939
807.3 IPS |
|
|
Face Detection (Q)
|
97% |
52589
627.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
90972
700.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
138732
1.07 KIPS |
|
|
Depth Estimation (Q)
|
77% |
75421
604.4 IPS |
|
|
Style Transfer (SP)
|
100% |
409321
526.2 IPS |
|
|
Style Transfer (HP)
|
100% |
756475
972.5 IPS |
|
|
Style Transfer (Q)
|
98% |
376440
485.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55113
2.04 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
85262
3.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45848
1.70 KIPS |
|
|
Text Classification (SP)
|
100% |
3382
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
3569
4.76 KIPS |
|
|
Text Classification (Q)
|
97% |
3128
4.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
7667
132.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7929
136.6 IPS |
|
|
Machine Translation (Q)
|
70% |
4442
83.3 IPS |
