ASUS System Product Name
Geekbench AI Score
33635
Single Precision Score
49578
Half Precision Score
25685
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Jerry27889 |
| Upload Date | April 16 2025 02:42 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z690-A GAMING WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700K |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12816
2.38 KIPS |
|
|
Image Classification (HP)
|
99% |
17831
3.33 KIPS |
|
|
Image Classification (Q)
|
100% |
10949
2.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23275
377.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
30306
491.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
21195
344.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
254538
297.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
477928
557.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
224950
263.6 IPS |
|
|
Object Detection (SP)
|
100% |
16495
1.31 KIPS |
|
|
Object Detection (HP)
|
100% |
23125
1.83 KIPS |
|
|
Object Detection (Q)
|
85% |
13892
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
47283
561.8 IPS |
|
|
Face Detection (HP)
|
100% |
62647
744.4 IPS |
|
|
Face Detection (Q)
|
97% |
40928
488.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
75758
583.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
150145
1.16 KIPS |
|
|
Depth Estimation (Q)
|
78% |
58054
463.6 IPS |
|
|
Style Transfer (SP)
|
100% |
387089
497.6 IPS |
|
|
Style Transfer (HP)
|
100% |
884006
1.14 KIPS |
|
|
Style Transfer (Q)
|
98% |
338912
437.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
52778
1.95 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
72062
2.66 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40036
1.48 KIPS |
|
|
Text Classification (SP)
|
100% |
3567
4.76 KIPS |
|
|
Text Classification (HP)
|
99% |
4446
5.93 KIPS |
|
|
Text Classification (Q)
|
97% |
2116
2.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
5669
97.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5639
97.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2526
47.4 IPS |
