ASUS System Product Name
Geekbench AI Score
36236
Single Precision Score
48365
Half Precision Score
27079
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Benster412 |
| Upload Date | October 09 2024 02:55 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z690-F GAMING WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12722
2.37 KIPS |
|
|
Image Classification (HP)
|
99% |
16625
3.10 KIPS |
|
|
Image Classification (Q)
|
100% |
11084
2.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20399
330.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
23884
387.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
18728
304.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
319405
372.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
529335
617.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
277918
325.4 IPS |
|
|
Object Detection (SP)
|
100% |
17792
1.41 KIPS |
|
|
Object Detection (HP)
|
100% |
22690
1.80 KIPS |
|
|
Object Detection (Q)
|
89% |
14415
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
46318
550.4 IPS |
|
|
Face Detection (HP)
|
100% |
54815
651.3 IPS |
|
|
Face Detection (Q)
|
97% |
39177
467.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
95100
732.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
157161
1.21 KIPS |
|
|
Depth Estimation (Q)
|
75% |
68662
553.8 IPS |
|
|
Style Transfer (SP)
|
100% |
567246
729.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1049414
1.35 KIPS |
|
|
Style Transfer (Q)
|
98% |
486368
627.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
59307
2.19 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
76740
2.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43590
1.61 KIPS |
|
|
Text Classification (SP)
|
100% |
3701
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
4528
6.04 KIPS |
|
|
Text Classification (Q)
|
97% |
2158
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
4826
83.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4675
80.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2072
46.2 IPS |
