ASUS System Product Name
Geekbench AI Score
19362
Single Precision Score
31838
Half Precision Score
12511
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Americanrust |
| Upload Date | October 02 2025 10:07 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z790-E GAMING WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7802
1.45 KIPS |
|
|
Image Classification (HP)
|
99% |
12040
2.25 KIPS |
|
|
Image Classification (Q)
|
100% |
5609
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12669
205.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19162
310.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
9908
161.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
106776
124.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
308616
360.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
86138
100.9 IPS |
|
|
Object Detection (SP)
|
100% |
9959
790.0 IPS |
|
|
Object Detection (HP)
|
100% |
15694
1.24 KIPS |
|
|
Object Detection (Q)
|
85% |
7258
584.3 IPS |
|
|
Face Detection (SP)
|
100% |
22652
269.2 IPS |
|
|
Face Detection (HP)
|
100% |
36213
430.3 IPS |
|
|
Face Detection (Q)
|
97% |
17093
203.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
45937
353.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
87998
678.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
30114
241.2 IPS |
|
|
Style Transfer (SP)
|
100% |
180658
232.2 IPS |
|
|
Style Transfer (HP)
|
100% |
457800
588.5 IPS |
|
|
Style Transfer (Q)
|
98% |
139975
180.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32415
1.20 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
43315
1.60 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18031
667.7 IPS |
|
|
Text Classification (SP)
|
100% |
2972
3.97 KIPS |
|
|
Text Classification (HP)
|
99% |
3872
5.17 KIPS |
|
|
Text Classification (Q)
|
97% |
1429
1.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3890
67.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3915
67.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1457
27.3 IPS |
