ASUSTeK COMPUTER INC. MDS-M700_Q670EM-IM-A
Geekbench AI Score
22372
Single Precision Score
35651
Half Precision Score
17081
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | February 17 2025 03:57 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 4000 Ada Generation |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. MDS-M700_Q670EM-IM-A |
| Motherboard | ASUSTeK COMPUTER INC. MDS-M700_Q670EM-IM-A |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900 |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9717
1.81 KIPS |
|
|
Image Classification (HP)
|
99% |
16027
2.99 KIPS |
|
|
Image Classification (Q)
|
100% |
8559
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15100
244.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19365
313.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
13761
223.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
120405
140.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
317979
371.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
105639
123.8 IPS |
|
|
Object Detection (SP)
|
100% |
10820
858.3 IPS |
|
|
Object Detection (HP)
|
100% |
18873
1.50 KIPS |
|
|
Object Detection (Q)
|
85% |
9364
753.8 IPS |
|
|
Face Detection (SP)
|
100% |
28987
344.4 IPS |
|
|
Face Detection (HP)
|
100% |
40416
480.2 IPS |
|
|
Face Detection (Q)
|
97% |
24319
290.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
46852
361.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
86283
666.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
36574
293.7 IPS |
|
|
Style Transfer (SP)
|
100% |
200936
258.3 IPS |
|
|
Style Transfer (HP)
|
100% |
504418
648.4 IPS |
|
|
Style Transfer (Q)
|
98% |
180683
233.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40920
1.51 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
52568
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29227
1.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3577
4.77 KIPS |
|
|
Text Classification (HP)
|
99% |
4593
6.13 KIPS |
|
|
Text Classification (Q)
|
97% |
2034
2.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
4114
70.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4193
72.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1900
35.6 IPS |
