Micro-Star International Co., Ltd. MS-7D85
Geekbench AI Score
33451
Single Precision Score
46108
Half Precision Score
29121
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | September 23 2025 12:13 AM |
| Views | 4 |
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(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% |
15152
2.82 KIPS |
|
|
Image Classification (HP)
|
100% |
17368
3.23 KIPS |
|
|
Image Classification (Q)
|
99% |
14386
2.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17774
288.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
20518
332.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
21961
357.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
212078
247.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
638633
745.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
191356
224.1 IPS |
|
|
Object Detection (SP)
|
100% |
16373
1.30 KIPS |
|
|
Object Detection (HP)
|
99% |
19329
1.53 KIPS |
|
|
Object Detection (Q)
|
87% |
15484
1.24 KIPS |
|
|
Face Detection (SP)
|
100% |
50645
601.8 IPS |
|
|
Face Detection (HP)
|
100% |
56183
667.6 IPS |
|
|
Face Detection (Q)
|
97% |
45426
541.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
84666
652.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
123847
954.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
70940
568.5 IPS |
|
|
Style Transfer (SP)
|
100% |
383060
492.4 IPS |
|
|
Style Transfer (HP)
|
100% |
675142
867.9 IPS |
|
|
Style Transfer (Q)
|
98% |
347285
447.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49028
1.81 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79689
2.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41720
1.54 KIPS |
|
|
Text Classification (SP)
|
100% |
3961
5.29 KIPS |
|
|
Text Classification (HP)
|
100% |
4436
5.92 KIPS |
|
|
Text Classification (Q)
|
97% |
2718
3.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
5881
101.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5945
102.4 IPS |
|
|
Machine Translation (Q)
|
70% |
3693
69.3 IPS |
