Micro-Star International Co., Ltd. MS-7D85
Geekbench AI Score
32277
Single Precision Score
44047
Half Precision Score
27677
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | September 08 2025 09:32 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | 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 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 | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15303
2.85 KIPS |
|
|
Image Classification (HP)
|
100% |
17298
3.22 KIPS |
|
|
Image Classification (Q)
|
99% |
14403
2.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17471
283.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19992
324.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
20482
333.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
208090
242.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
603744
704.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
189970
222.5 IPS |
|
|
Object Detection (SP)
|
100% |
15973
1.27 KIPS |
|
|
Object Detection (HP)
|
99% |
18634
1.48 KIPS |
|
|
Object Detection (Q)
|
87% |
12781
1.03 KIPS |
|
|
Face Detection (SP)
|
100% |
44570
529.6 IPS |
|
|
Face Detection (HP)
|
100% |
51591
613.0 IPS |
|
|
Face Detection (Q)
|
97% |
40581
483.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
82246
633.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
118122
910.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
69037
553.3 IPS |
|
|
Style Transfer (SP)
|
100% |
370051
475.7 IPS |
|
|
Style Transfer (HP)
|
100% |
630613
810.7 IPS |
|
|
Style Transfer (Q)
|
98% |
343910
443.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47680
1.76 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
77075
2.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41320
1.53 KIPS |
|
|
Text Classification (SP)
|
100% |
3818
5.10 KIPS |
|
|
Text Classification (HP)
|
100% |
4022
5.37 KIPS |
|
|
Text Classification (Q)
|
97% |
2681
3.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
5594
96.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5932
102.2 IPS |
|
|
Machine Translation (Q)
|
70% |
3450
64.7 IPS |
