Micro-Star International Co., Ltd. MS-7D26
Geekbench AI Score
29029
Single Precision Score
31530
Half Precision Score
21963
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | April 08 2025 02:11 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6900 XT |
| 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% |
12442
2.31 KIPS |
|
|
Image Classification (HP)
|
100% |
11794
2.19 KIPS |
|
|
Image Classification (Q)
|
99% |
10051
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18073
293.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15069
244.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
15159
246.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
197008
229.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
296171
345.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
163933
192.1 IPS |
|
|
Object Detection (SP)
|
100% |
13069
1.04 KIPS |
|
|
Object Detection (HP)
|
100% |
13430
1.07 KIPS |
|
|
Object Detection (Q)
|
87% |
10891
874.7 IPS |
|
|
Face Detection (SP)
|
100% |
35864
426.1 IPS |
|
|
Face Detection (HP)
|
100% |
39351
467.6 IPS |
|
|
Face Detection (Q)
|
97% |
29837
355.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
71665
552.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
77507
597.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
53934
433.1 IPS |
|
|
Style Transfer (SP)
|
100% |
354664
455.9 IPS |
|
|
Style Transfer (HP)
|
100% |
467692
601.2 IPS |
|
|
Style Transfer (Q)
|
98% |
281329
362.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40938
1.51 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
47939
1.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29812
1.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3998
5.34 KIPS |
|
|
Text Classification (HP)
|
100% |
4129
5.51 KIPS |
|
|
Text Classification (Q)
|
97% |
2510
3.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
4921
84.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4866
83.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2835
53.2 IPS |
