ASUS System Product Name
Geekbench AI Score
33931
Single Precision Score
49039
Half Precision Score
26341
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | solitto |
| Upload Date | January 14 2025 05:30 AM |
| Views | 7 |
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% |
13656
2.54 KIPS |
|
|
Image Classification (HP)
|
99% |
19192
3.58 KIPS |
|
|
Image Classification (Q)
|
100% |
11765
2.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20089
325.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
24496
397.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
18483
300.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
267273
311.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
504227
588.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
232893
272.9 IPS |
|
|
Object Detection (SP)
|
100% |
16580
1.32 KIPS |
|
|
Object Detection (HP)
|
100% |
23360
1.85 KIPS |
|
|
Object Detection (Q)
|
85% |
14298
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
45510
540.8 IPS |
|
|
Face Detection (HP)
|
100% |
57883
687.8 IPS |
|
|
Face Detection (Q)
|
97% |
39667
473.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
79379
611.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
150418
1.16 KIPS |
|
|
Depth Estimation (Q)
|
78% |
61586
491.8 IPS |
|
|
Style Transfer (SP)
|
100% |
400409
514.7 IPS |
|
|
Style Transfer (HP)
|
100% |
899804
1.16 KIPS |
|
|
Style Transfer (Q)
|
98% |
362345
467.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
56885
2.10 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
75981
2.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41334
1.53 KIPS |
|
|
Text Classification (SP)
|
100% |
3950
5.27 KIPS |
|
|
Text Classification (HP)
|
99% |
4823
6.44 KIPS |
|
|
Text Classification (Q)
|
97% |
2341
3.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
5120
88.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5060
87.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2593
48.6 IPS |
