ASUS System Product Name
Geekbench AI Score
29043
Single Precision Score
51417
Half Precision Score
22218
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| Upload Date | February 21 2026 08:05 PM |
| Views | 5 |
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. TUF GAMING B850M-PLUS II |
| Power Plan | Balanceret |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11154
2.07 KIPS |
|
|
Image Classification (HP)
|
100% |
18348
3.41 KIPS |
|
|
Image Classification (Q)
|
100% |
9064
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24088
390.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
38603
625.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
21900
356.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
159652
186.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
494884
577.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
142902
167.4 IPS |
|
|
Object Detection (SP)
|
100% |
15649
1.24 KIPS |
|
|
Object Detection (HP)
|
100% |
26229
2.08 KIPS |
|
|
Object Detection (Q)
|
83% |
13051
1.05 KIPS |
|
|
Face Detection (SP)
|
100% |
44064
523.6 IPS |
|
|
Face Detection (HP)
|
100% |
63912
759.4 IPS |
|
|
Face Detection (Q)
|
97% |
36325
433.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
68990
531.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
133324
1.03 KIPS |
|
|
Depth Estimation (Q)
|
78% |
53805
429.5 IPS |
|
|
Style Transfer (SP)
|
100% |
234492
301.4 IPS |
|
|
Style Transfer (HP)
|
100% |
822442
1.06 KIPS |
|
|
Style Transfer (Q)
|
98% |
199581
257.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40158
1.48 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
76730
2.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32486
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3239
4.32 KIPS |
|
|
Text Classification (HP)
|
100% |
3693
4.93 KIPS |
|
|
Text Classification (Q)
|
97% |
2160
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
6861
118.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7074
121.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2893
54.3 IPS |
