Micro-Star International Co., Ltd. MS-7D26
Geekbench AI Score
12021
Single Precision Score
11153
Half Precision Score
8296
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | October 05 2025 12:08 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA TITAN Xp COLLECTORS EDITION |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D26 |
| Motherboard | Micro-Star International Co., Ltd. MEG Z690 GODLIKE (MS-7D26) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900T |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 1.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3929
730.7 IPS |
|
|
Image Classification (HP)
|
100% |
4793
891.3 IPS |
|
|
Image Classification (Q)
|
99% |
3146
586.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7348
119.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7159
116.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5663
92.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
92238
107.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
52317
61.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
69145
81.0 IPS |
|
|
Object Detection (SP)
|
100% |
4543
360.4 IPS |
|
|
Object Detection (HP)
|
100% |
5949
471.9 IPS |
|
|
Object Detection (Q)
|
85% |
3688
296.9 IPS |
|
|
Face Detection (SP)
|
100% |
8872
105.4 IPS |
|
|
Face Detection (HP)
|
100% |
11999
142.6 IPS |
|
|
Face Detection (Q)
|
97% |
7070
84.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
28413
218.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
23468
181.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
19713
157.9 IPS |
|
|
Style Transfer (SP)
|
100% |
155762
200.2 IPS |
|
|
Style Transfer (HP)
|
100% |
79269
101.9 IPS |
|
|
Style Transfer (Q)
|
98% |
109399
141.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24792
915.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17667
652.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13820
511.7 IPS |
|
|
Text Classification (SP)
|
100% |
1839
2.45 KIPS |
|
|
Text Classification (HP)
|
100% |
2482
3.31 KIPS |
|
|
Text Classification (Q)
|
97% |
1126
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2910
50.1 IPS |
|
|
Machine Translation (HP)
|
96% |
2850
49.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1434
26.9 IPS |
