ASUS System Product Name
Geekbench AI Score
2712
Single Precision Score
3936
Half Precision Score
6153
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | cadillacthewolf |
| Upload Date | June 12 2025 02:44 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 770 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING Z790-PLUS WIFI |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700K |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 80.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1661
309.0 IPS |
|
|
Image Classification (HP)
|
100% |
2744
510.3 IPS |
|
|
Image Classification (Q)
|
99% |
4190
781.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2449
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4015
65.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4810
78.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4365
5.09 IPS |
|
|
Pose Estimation (HP)
|
99% |
3175
3.71 IPS |
|
|
Pose Estimation (Q)
|
97% |
13029
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1490
118.2 IPS |
|
|
Object Detection (HP)
|
98% |
2384
189.7 IPS |
|
|
Object Detection (Q)
|
90% |
4420
353.4 IPS |
|
|
Face Detection (SP)
|
100% |
5090
60.5 IPS |
|
|
Face Detection (HP)
|
100% |
7892
93.8 IPS |
|
|
Face Detection (Q)
|
100% |
10318
122.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5013
38.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
8659
66.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
11809
91.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11264
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
17868
23.0 IPS |
|
|
Style Transfer (Q)
|
98% |
29787
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2032
75.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3300
121.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6810
252.2 IPS |
|
|
Text Classification (SP)
|
71% |
1206
1.74 KIPS |
|
|
Text Classification (HP)
|
71% |
1473
2.13 KIPS |
|
|
Text Classification (Q)
|
92% |
1510
2.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1158
20.0 IPS |
|
|
Machine Translation (HP)
|
98% |
1807
31.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1797
30.9 IPS |
