ASUS System Product Name
Geekbench AI Score
34535
Single Precision Score
50859
Half Precision Score
26001
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 14 2025 03:56 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B760-PLUS WIFI D4 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600KF |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12389
2.30 KIPS |
|
|
Image Classification (HP)
|
99% |
18473
3.45 KIPS |
|
|
Image Classification (Q)
|
100% |
10670
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23926
387.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
31152
505.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
21489
349.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
249850
291.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
491698
573.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
219128
256.7 IPS |
|
|
Object Detection (SP)
|
100% |
16934
1.34 KIPS |
|
|
Object Detection (HP)
|
100% |
23943
1.90 KIPS |
|
|
Object Detection (Q)
|
85% |
14463
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
49024
582.5 IPS |
|
|
Face Detection (HP)
|
100% |
63654
756.3 IPS |
|
|
Face Detection (Q)
|
97% |
40873
487.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
83885
646.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
151658
1.17 KIPS |
|
|
Depth Estimation (Q)
|
78% |
61264
489.2 IPS |
|
|
Style Transfer (SP)
|
100% |
389698
501.0 IPS |
|
|
Style Transfer (HP)
|
100% |
891513
1.15 KIPS |
|
|
Style Transfer (Q)
|
98% |
332842
429.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55646
2.05 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
76004
2.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41689
1.54 KIPS |
|
|
Text Classification (SP)
|
100% |
3688
4.92 KIPS |
|
|
Text Classification (HP)
|
100% |
4538
6.06 KIPS |
|
|
Text Classification (Q)
|
97% |
2208
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
5852
100.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5758
99.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2534
47.5 IPS |
