ASUSTeK COMPUTER INC. ROG GM700TZ
Geekbench AI Score
36877
Single Precision Score
61642
Half Precision Score
27659
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 05 2026 03:57 AM |
| Views | 3 |
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 GM700TZ |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B650M-A AX6 II |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14764
2.75 KIPS |
|
|
Image Classification (HP)
|
100% |
21733
4.04 KIPS |
|
|
Image Classification (Q)
|
100% |
12905
2.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26236
425.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
37033
600.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
23509
382.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
234365
273.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
713886
833.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
199501
233.7 IPS |
|
|
Object Detection (SP)
|
100% |
19663
1.56 KIPS |
|
|
Object Detection (HP)
|
100% |
30975
2.46 KIPS |
|
|
Object Detection (Q)
|
86% |
16739
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
58201
691.6 IPS |
|
|
Face Detection (HP)
|
100% |
84067
998.9 IPS |
|
|
Face Detection (Q)
|
97% |
46597
555.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
89776
691.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
161189
1.24 KIPS |
|
|
Depth Estimation (Q)
|
78% |
65506
523.1 IPS |
|
|
Style Transfer (SP)
|
100% |
342057
439.7 IPS |
|
|
Style Transfer (HP)
|
100% |
1116403
1.44 KIPS |
|
|
Style Transfer (Q)
|
98% |
295723
381.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
56496
2.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
89054
3.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41533
1.54 KIPS |
|
|
Text Classification (SP)
|
100% |
3839
5.12 KIPS |
|
|
Text Classification (HP)
|
100% |
4861
6.49 KIPS |
|
|
Text Classification (Q)
|
97% |
2330
3.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
6722
115.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6797
117.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2961
55.5 IPS |
