ASUS System Product Name
Geekbench AI Score
28601
Single Precision Score
49922
Half Precision Score
22299
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | September 04 2025 12:37 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| 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% |
11644
2.17 KIPS |
|
|
Image Classification (HP)
|
100% |
19870
3.70 KIPS |
|
|
Image Classification (Q)
|
100% |
10518
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18946
307.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
27117
439.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
17880
290.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
166469
194.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
476517
556.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
144426
169.2 IPS |
|
|
Object Detection (SP)
|
100% |
15448
1.23 KIPS |
|
|
Object Detection (HP)
|
100% |
26152
2.07 KIPS |
|
|
Object Detection (Q)
|
83% |
12983
1.05 KIPS |
|
|
Face Detection (SP)
|
100% |
40730
484.0 IPS |
|
|
Face Detection (HP)
|
100% |
60224
715.6 IPS |
|
|
Face Detection (Q)
|
97% |
34518
411.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
71042
547.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
133810
1.03 KIPS |
|
|
Depth Estimation (Q)
|
78% |
55306
441.4 IPS |
|
|
Style Transfer (SP)
|
100% |
231458
297.5 IPS |
|
|
Style Transfer (HP)
|
100% |
788976
1.01 KIPS |
|
|
Style Transfer (Q)
|
98% |
199731
257.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42201
1.56 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
77294
2.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33494
1.24 KIPS |
|
|
Text Classification (SP)
|
100% |
4073
5.44 KIPS |
|
|
Text Classification (HP)
|
100% |
5092
6.80 KIPS |
|
|
Text Classification (Q)
|
97% |
2460
3.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
5610
96.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5722
98.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2744
51.5 IPS |
