ASUS System Product Name
Geekbench AI Score
34126
Single Precision Score
49174
Half Precision Score
26543
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | solitto |
| Upload Date | January 14 2025 05:33 AM |
| Views | 8 |
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% |
13784
2.56 KIPS |
|
|
Image Classification (HP)
|
99% |
19194
3.58 KIPS |
|
|
Image Classification (Q)
|
100% |
11883
2.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20135
326.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
24533
397.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
18410
299.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
266860
311.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
485930
567.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
239894
281.1 IPS |
|
|
Object Detection (SP)
|
100% |
16724
1.33 KIPS |
|
|
Object Detection (HP)
|
100% |
23377
1.85 KIPS |
|
|
Object Detection (Q)
|
85% |
14523
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
45507
540.7 IPS |
|
|
Face Detection (HP)
|
100% |
57104
678.5 IPS |
|
|
Face Detection (Q)
|
97% |
39281
468.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
79539
612.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
158312
1.22 KIPS |
|
|
Depth Estimation (Q)
|
78% |
61458
490.8 IPS |
|
|
Style Transfer (SP)
|
100% |
415351
533.9 IPS |
|
|
Style Transfer (HP)
|
100% |
901253
1.16 KIPS |
|
|
Style Transfer (Q)
|
98% |
361313
465.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
56886
2.10 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
76052
2.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42606
1.58 KIPS |
|
|
Text Classification (SP)
|
100% |
3984
5.32 KIPS |
|
|
Text Classification (HP)
|
99% |
4861
6.49 KIPS |
|
|
Text Classification (Q)
|
97% |
2385
3.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
5076
87.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5132
88.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2570
48.2 IPS |
