ASUS System Product Name
Geekbench AI Score
25819
Single Precision Score
38582
Half Precision Score
20304
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 25 2024 11:54 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z890-I GAMING WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11212
2.09 KIPS |
|
|
Image Classification (HP)
|
99% |
16570
3.09 KIPS |
|
|
Image Classification (Q)
|
100% |
9628
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14981
242.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
17428
282.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
13614
221.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
160285
187.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
398327
464.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
145792
170.8 IPS |
|
|
Object Detection (SP)
|
100% |
12597
999.2 IPS |
|
|
Object Detection (HP)
|
100% |
19499
1.55 KIPS |
|
|
Object Detection (Q)
|
85% |
10523
847.1 IPS |
|
|
Face Detection (SP)
|
100% |
32830
390.1 IPS |
|
|
Face Detection (HP)
|
100% |
42183
501.2 IPS |
|
|
Face Detection (Q)
|
97% |
29053
346.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
64432
496.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
111521
861.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
51168
409.1 IPS |
|
|
Style Transfer (SP)
|
100% |
289287
371.9 IPS |
|
|
Style Transfer (HP)
|
100% |
673931
866.3 IPS |
|
|
Style Transfer (Q)
|
98% |
257081
331.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45895
1.69 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
57669
2.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33215
1.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3565
4.76 KIPS |
|
|
Text Classification (HP)
|
99% |
4532
6.05 KIPS |
|
|
Text Classification (Q)
|
97% |
2146
2.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3877
66.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3933
67.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2174
40.8 IPS |
