ASUSTeK COMPUTER INC. ROG G700TF
Geekbench AI Score
35240
Single Precision Score
58893
Half Precision Score
26906
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 04 2025 09:13 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG G700TF |
| Motherboard | ASUSTeK COMPUTER INC. B860M MAX GAMING AX |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13611
2.53 KIPS |
|
|
Image Classification (HP)
|
100% |
20540
3.82 KIPS |
|
|
Image Classification (Q)
|
100% |
12010
2.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27001
437.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
37732
611.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
24173
393.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
232462
271.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
675878
788.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
195455
228.9 IPS |
|
|
Object Detection (SP)
|
100% |
18188
1.44 KIPS |
|
|
Object Detection (HP)
|
100% |
26805
2.13 KIPS |
|
|
Object Detection (Q)
|
86% |
15654
1.26 KIPS |
|
|
Face Detection (SP)
|
100% |
53596
636.8 IPS |
|
|
Face Detection (HP)
|
100% |
78261
929.9 IPS |
|
|
Face Detection (Q)
|
97% |
44750
533.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
88267
680.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
168147
1.30 KIPS |
|
|
Depth Estimation (Q)
|
78% |
65790
525.4 IPS |
|
|
Style Transfer (SP)
|
100% |
330110
424.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1091711
1.40 KIPS |
|
|
Style Transfer (Q)
|
98% |
288405
371.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51462
1.90 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79111
2.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39649
1.47 KIPS |
|
|
Text Classification (SP)
|
100% |
3548
4.74 KIPS |
|
|
Text Classification (HP)
|
100% |
4699
6.27 KIPS |
|
|
Text Classification (Q)
|
97% |
2231
2.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
6668
114.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6694
115.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2981
55.9 IPS |
