ASUS System Product Name
Geekbench AI Score
35390
Single Precision Score
51722
Half Precision Score
26754
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | cbs |
| Upload Date | January 05 2026 09:44 AM |
| Views | 3 |
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 Z790-F GAMING WIFI |
| Power Plan | Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13503
2.51 KIPS |
|
|
Image Classification (HP)
|
99% |
19520
3.64 KIPS |
|
|
Image Classification (Q)
|
100% |
11608
2.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25355
411.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
33784
547.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
22670
368.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
257738
300.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
469114
547.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
215625
252.6 IPS |
|
|
Object Detection (SP)
|
100% |
17445
1.38 KIPS |
|
|
Object Detection (HP)
|
100% |
24565
1.95 KIPS |
|
|
Object Detection (Q)
|
85% |
14952
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
50020
594.3 IPS |
|
|
Face Detection (HP)
|
100% |
67057
796.8 IPS |
|
|
Face Detection (Q)
|
97% |
43236
515.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
80078
617.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
152968
1.18 KIPS |
|
|
Depth Estimation (Q)
|
78% |
61136
488.2 IPS |
|
|
Style Transfer (SP)
|
100% |
380329
488.9 IPS |
|
|
Style Transfer (HP)
|
100% |
871625
1.12 KIPS |
|
|
Style Transfer (Q)
|
98% |
338318
436.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
56120
2.07 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
76619
2.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40958
1.52 KIPS |
|
|
Text Classification (SP)
|
100% |
3781
5.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4372
5.84 KIPS |
|
|
Text Classification (Q)
|
97% |
2250
3.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
6194
106.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6020
103.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2688
50.4 IPS |
