ASUS System Product Name
Geekbench AI Score
34291
Single Precision Score
49391
Half Precision Score
26476
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | solitto |
| Upload Date | January 14 2025 06:06 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% |
13660
2.54 KIPS |
|
|
Image Classification (HP)
|
99% |
18966
3.54 KIPS |
|
|
Image Classification (Q)
|
100% |
11874
2.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20246
328.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
24689
400.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
18504
300.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
272410
317.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
511632
597.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
240892
282.2 IPS |
|
|
Object Detection (SP)
|
100% |
16677
1.32 KIPS |
|
|
Object Detection (HP)
|
100% |
23455
1.86 KIPS |
|
|
Object Detection (Q)
|
85% |
14537
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
45392
539.4 IPS |
|
|
Face Detection (HP)
|
100% |
56797
674.9 IPS |
|
|
Face Detection (Q)
|
97% |
39301
468.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
83036
639.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
160208
1.24 KIPS |
|
|
Depth Estimation (Q)
|
78% |
62543
499.4 IPS |
|
|
Style Transfer (SP)
|
100% |
408194
524.7 IPS |
|
|
Style Transfer (HP)
|
100% |
896021
1.15 KIPS |
|
|
Style Transfer (Q)
|
98% |
356230
459.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
56986
2.10 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
75999
2.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42819
1.59 KIPS |
|
|
Text Classification (SP)
|
100% |
3988
5.32 KIPS |
|
|
Text Classification (HP)
|
99% |
4906
6.55 KIPS |
|
|
Text Classification (Q)
|
97% |
2332
3.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
5118
88.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5058
87.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2516
47.2 IPS |
