ASUS System Product Name
Geekbench AI Score
33580
Single Precision Score
48983
Half Precision Score
26138
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | solitto |
| Upload Date | January 14 2025 05:04 AM |
| Views | 5 |
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% |
13448
2.50 KIPS |
|
|
Image Classification (HP)
|
99% |
19202
3.58 KIPS |
|
|
Image Classification (Q)
|
100% |
11697
2.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19883
322.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
24551
398.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
18433
299.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
253729
296.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
499286
582.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
228406
267.6 IPS |
|
|
Object Detection (SP)
|
100% |
16480
1.31 KIPS |
|
|
Object Detection (HP)
|
100% |
23157
1.84 KIPS |
|
|
Object Detection (Q)
|
85% |
14394
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
45040
535.2 IPS |
|
|
Face Detection (HP)
|
100% |
56838
675.4 IPS |
|
|
Face Detection (Q)
|
97% |
39283
468.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
81097
624.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
159260
1.23 KIPS |
|
|
Depth Estimation (Q)
|
78% |
61086
487.8 IPS |
|
|
Style Transfer (SP)
|
100% |
403858
519.2 IPS |
|
|
Style Transfer (HP)
|
100% |
897634
1.15 KIPS |
|
|
Style Transfer (Q)
|
98% |
346866
447.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
56178
2.07 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
75139
2.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42257
1.56 KIPS |
|
|
Text Classification (SP)
|
100% |
3934
5.25 KIPS |
|
|
Text Classification (HP)
|
99% |
4832
6.45 KIPS |
|
|
Text Classification (Q)
|
97% |
2370
3.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
5002
86.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4946
85.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2519
47.3 IPS |
