ASUS System Product Name
Geekbench AI Score
25130
Single Precision Score
37893
Half Precision Score
19036
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | HdwJunkie |
| Upload Date | April 14 2025 09:46 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME X670-P WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9822
1.83 KIPS |
|
|
Image Classification (HP)
|
99% |
15249
2.84 KIPS |
|
|
Image Classification (Q)
|
100% |
8544
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17082
276.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
23073
374.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
16404
266.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
146396
170.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
342054
399.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
132836
155.6 IPS |
|
|
Object Detection (SP)
|
100% |
12669
1.00 KIPS |
|
|
Object Detection (HP)
|
100% |
19572
1.55 KIPS |
|
|
Object Detection (Q)
|
88% |
10175
816.0 IPS |
|
|
Face Detection (SP)
|
100% |
30566
363.2 IPS |
|
|
Face Detection (HP)
|
100% |
44873
533.2 IPS |
|
|
Face Detection (Q)
|
97% |
24534
292.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
62569
482.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
102261
787.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
47637
383.2 IPS |
|
|
Style Transfer (SP)
|
100% |
254463
327.1 IPS |
|
|
Style Transfer (HP)
|
100% |
556600
715.5 IPS |
|
|
Style Transfer (Q)
|
98% |
229447
295.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43742
1.62 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
52822
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31491
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3175
4.24 KIPS |
|
|
Text Classification (HP)
|
99% |
3975
5.31 KIPS |
|
|
Text Classification (Q)
|
97% |
2030
2.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
4777
82.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4833
83.2 IPS |
|
|
Machine Translation (Q)
|
60% |
1925
42.9 IPS |
