ASUS System Product Name
Geekbench AI Score
34130
Single Precision Score
49275
Half Precision Score
26437
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | solitto |
| Upload Date | January 14 2025 05:39 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z690 HERO EVA |
| Power Plan | Balanced |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13557
2.52 KIPS |
|
|
Image Classification (HP)
|
99% |
18860
3.52 KIPS |
|
|
Image Classification (Q)
|
100% |
11719
2.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20229
327.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
24586
398.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
18444
299.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
265915
310.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
507891
592.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
235630
276.1 IPS |
|
|
Object Detection (SP)
|
100% |
16701
1.32 KIPS |
|
|
Object Detection (HP)
|
100% |
23412
1.86 KIPS |
|
|
Object Detection (Q)
|
85% |
14454
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
45548
541.2 IPS |
|
|
Face Detection (HP)
|
100% |
56969
676.9 IPS |
|
|
Face Detection (Q)
|
97% |
39633
472.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
81189
625.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
156180
1.21 KIPS |
|
|
Depth Estimation (Q)
|
78% |
60875
486.1 IPS |
|
|
Style Transfer (SP)
|
100% |
410295
527.4 IPS |
|
|
Style Transfer (HP)
|
100% |
902738
1.16 KIPS |
|
|
Style Transfer (Q)
|
98% |
363889
469.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
57236
2.11 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
75999
2.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42007
1.56 KIPS |
|
|
Text Classification (SP)
|
100% |
3970
5.30 KIPS |
|
|
Text Classification (HP)
|
99% |
4895
6.53 KIPS |
|
|
Text Classification (Q)
|
97% |
2404
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
5109
88.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5123
88.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2556
47.9 IPS |
