ASUSTeK COMPUTER INC. ROG G700TF
Geekbench AI Score
35296
Single Precision Score
58773
Half Precision Score
26991
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 04 2025 09:21 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% |
13876
2.58 KIPS |
|
|
Image Classification (HP)
|
100% |
20513
3.81 KIPS |
|
|
Image Classification (Q)
|
100% |
12038
2.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26928
436.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
37531
608.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
23969
389.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
230322
268.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
671941
784.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
195443
228.9 IPS |
|
|
Object Detection (SP)
|
100% |
18242
1.45 KIPS |
|
|
Object Detection (HP)
|
100% |
26754
2.12 KIPS |
|
|
Object Detection (Q)
|
86% |
15606
1.25 KIPS |
|
|
Face Detection (SP)
|
100% |
53649
637.5 IPS |
|
|
Face Detection (HP)
|
100% |
78680
934.9 IPS |
|
|
Face Detection (Q)
|
97% |
44829
534.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
88399
681.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
167638
1.29 KIPS |
|
|
Depth Estimation (Q)
|
78% |
66218
528.8 IPS |
|
|
Style Transfer (SP)
|
100% |
331898
426.7 IPS |
|
|
Style Transfer (HP)
|
100% |
1083787
1.39 KIPS |
|
|
Style Transfer (Q)
|
98% |
292145
376.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51751
1.91 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
78765
2.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39747
1.47 KIPS |
|
|
Text Classification (SP)
|
100% |
3522
4.70 KIPS |
|
|
Text Classification (HP)
|
100% |
4720
6.30 KIPS |
|
|
Text Classification (Q)
|
97% |
2248
3.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
6664
114.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6687
115.2 IPS |
|
|
Machine Translation (Q)
|
70% |
3010
56.5 IPS |
