ASUS System Product Name
Geekbench AI Score
28395
Single Precision Score
43684
Half Precision Score
21404
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | MasterChief |
| Upload Date | November 11 2024 02:41 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B650M-PLUS WIFI |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7500F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11227
2.09 KIPS |
|
|
Image Classification (HP)
|
99% |
16294
3.04 KIPS |
|
|
Image Classification (Q)
|
100% |
9680
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19579
317.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
25765
417.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
18125
294.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
169143
197.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
433327
505.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
152167
178.2 IPS |
|
|
Object Detection (SP)
|
100% |
13527
1.07 KIPS |
|
|
Object Detection (HP)
|
100% |
21163
1.68 KIPS |
|
|
Object Detection (Q)
|
89% |
10942
875.9 IPS |
|
|
Face Detection (SP)
|
100% |
35266
419.0 IPS |
|
|
Face Detection (HP)
|
100% |
49627
589.7 IPS |
|
|
Face Detection (Q)
|
97% |
29128
347.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
64465
496.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
115570
892.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
49830
401.4 IPS |
|
|
Style Transfer (SP)
|
100% |
302475
388.8 IPS |
|
|
Style Transfer (HP)
|
100% |
735497
945.5 IPS |
|
|
Style Transfer (Q)
|
98% |
264527
341.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49911
1.84 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
63359
2.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35491
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
3749
5.00 KIPS |
|
|
Text Classification (HP)
|
99% |
4681
6.25 KIPS |
|
|
Text Classification (Q)
|
97% |
2271
3.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
5266
90.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5255
90.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2233
49.8 IPS |
