ASUS System Product Name
Geekbench AI Score
28226
Single Precision Score
50172
Half Precision Score
21809
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 17 2026 09:53 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. ROG STRIX B650E-F GAMING WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10697
1.99 KIPS |
|
|
Image Classification (HP)
|
100% |
17791
3.31 KIPS |
|
|
Image Classification (Q)
|
100% |
9741
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22638
367.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
36222
587.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
20439
332.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
160375
187.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
463532
540.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
136235
159.6 IPS |
|
|
Object Detection (SP)
|
100% |
15519
1.23 KIPS |
|
|
Object Detection (HP)
|
100% |
26544
2.11 KIPS |
|
|
Object Detection (Q)
|
83% |
13039
1.05 KIPS |
|
|
Face Detection (SP)
|
100% |
42669
507.0 IPS |
|
|
Face Detection (HP)
|
100% |
65208
774.8 IPS |
|
|
Face Detection (Q)
|
97% |
35863
427.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
66947
515.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
131416
1.01 KIPS |
|
|
Depth Estimation (Q)
|
78% |
51260
409.1 IPS |
|
|
Style Transfer (SP)
|
100% |
221869
285.2 IPS |
|
|
Style Transfer (HP)
|
100% |
746071
959.1 IPS |
|
|
Style Transfer (Q)
|
98% |
189429
244.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39154
1.45 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
72759
2.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31112
1.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3292
4.39 KIPS |
|
|
Text Classification (HP)
|
100% |
3903
5.21 KIPS |
|
|
Text Classification (Q)
|
97% |
2100
2.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
6520
112.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7022
121.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3026
56.7 IPS |
