ASUS System Product Name
Geekbench AI Score
32521
Single Precision Score
48498
Half Precision Score
24800
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | freendogg |
| Upload Date | November 10 2025 09:16 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B760M-BTF WIFI |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900F |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12868
2.39 KIPS |
|
|
Image Classification (HP)
|
99% |
18054
3.37 KIPS |
|
|
Image Classification (Q)
|
100% |
11164
2.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22732
368.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
30071
487.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
20388
331.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
194120
226.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
489228
570.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
173527
203.3 IPS |
|
|
Object Detection (SP)
|
100% |
15840
1.26 KIPS |
|
|
Object Detection (HP)
|
100% |
22872
1.81 KIPS |
|
|
Object Detection (Q)
|
85% |
13518
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
45858
544.9 IPS |
|
|
Face Detection (HP)
|
100% |
61004
724.9 IPS |
|
|
Face Detection (Q)
|
97% |
38952
464.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
82073
632.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
139114
1.07 KIPS |
|
|
Depth Estimation (Q)
|
77% |
62535
500.0 IPS |
|
|
Style Transfer (SP)
|
100% |
346153
445.0 IPS |
|
|
Style Transfer (HP)
|
100% |
813106
1.05 KIPS |
|
|
Style Transfer (Q)
|
98% |
307063
395.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51277
1.89 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
64335
2.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36432
1.35 KIPS |
|
|
Text Classification (SP)
|
100% |
3716
4.96 KIPS |
|
|
Text Classification (HP)
|
99% |
4565
6.09 KIPS |
|
|
Text Classification (Q)
|
97% |
2192
2.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
5928
102.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5848
100.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2760
51.8 IPS |
