Micro-Star International Co., Ltd. MS-7D85
Geekbench AI Score
34320
Single Precision Score
46554
Half Precision Score
29482
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | September 22 2025 11:59 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon AI PRO R9700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D85 |
| Motherboard | Micro-Star International Co., Ltd. MEG Z790 GODLIKE (MS-7D85) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) i9-14900KS |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16150
3.00 KIPS |
|
|
Image Classification (HP)
|
100% |
18399
3.42 KIPS |
|
|
Image Classification (Q)
|
99% |
15211
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17945
290.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
20603
334.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
22272
362.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
212166
247.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
631308
736.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
191750
224.6 IPS |
|
|
Object Detection (SP)
|
100% |
16664
1.32 KIPS |
|
|
Object Detection (HP)
|
99% |
19356
1.54 KIPS |
|
|
Object Detection (Q)
|
87% |
15558
1.25 KIPS |
|
|
Face Detection (SP)
|
100% |
50705
602.5 IPS |
|
|
Face Detection (HP)
|
100% |
57069
678.1 IPS |
|
|
Face Detection (Q)
|
97% |
45503
542.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
85900
661.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
123293
949.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
71672
574.4 IPS |
|
|
Style Transfer (SP)
|
100% |
385224
495.2 IPS |
|
|
Style Transfer (HP)
|
100% |
686965
883.1 IPS |
|
|
Style Transfer (Q)
|
98% |
353298
455.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
50272
1.86 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
80923
2.99 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42250
1.56 KIPS |
|
|
Text Classification (SP)
|
100% |
4324
5.77 KIPS |
|
|
Text Classification (HP)
|
100% |
4280
5.71 KIPS |
|
|
Text Classification (Q)
|
97% |
2672
3.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
6067
104.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6166
106.2 IPS |
|
|
Machine Translation (Q)
|
70% |
3774
70.8 IPS |
