Micro-Star International Co., Ltd. MS-7D91
Geekbench AI Score
26216
Single Precision Score
40379
Half Precision Score
21462
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | oneilldp |
| Upload Date | September 04 2025 07:42 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9060 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D91 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z790 TOMAHAWK WIFI (MS-7D91) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12657
2.35 KIPS |
|
|
Image Classification (HP)
|
100% |
15284
2.84 KIPS |
|
|
Image Classification (Q)
|
100% |
11711
2.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16539
268.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22490
364.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
14901
242.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
135319
157.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
444789
519.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
120166
140.8 IPS |
|
|
Object Detection (SP)
|
100% |
10687
847.7 IPS |
|
|
Object Detection (HP)
|
99% |
16725
1.33 KIPS |
|
|
Object Detection (Q)
|
87% |
9876
793.2 IPS |
|
|
Face Detection (SP)
|
100% |
32730
388.9 IPS |
|
|
Face Detection (HP)
|
100% |
46486
552.4 IPS |
|
|
Face Detection (Q)
|
97% |
28415
338.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
66781
514.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
95797
738.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
54757
439.1 IPS |
|
|
Style Transfer (SP)
|
100% |
247448
318.1 IPS |
|
|
Style Transfer (HP)
|
100% |
481513
619.0 IPS |
|
|
Style Transfer (Q)
|
98% |
208145
268.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40465
1.49 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
81883
3.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32481
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
4246
5.67 KIPS |
|
|
Text Classification (HP)
|
100% |
4892
6.53 KIPS |
|
|
Text Classification (Q)
|
97% |
3019
4.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
5451
93.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5247
90.4 IPS |
|
|
Machine Translation (Q)
|
70% |
3153
59.1 IPS |
