Micro-Star International Co., Ltd. MS-7D98
Geekbench AI Score
34311
Single Precision Score
46087
Half Precision Score
28871
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Pints |
| Upload Date | January 15 2026 01:28 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D98 |
| Motherboard | Micro-Star International Co., Ltd. B760 GAMING PLUS WIFI DDR4 (MS-7D98) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16242
3.02 KIPS |
|
|
Image Classification (HP)
|
100% |
18850
3.51 KIPS |
|
|
Image Classification (Q)
|
99% |
15216
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16758
271.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19132
310.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
19332
314.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
212261
247.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
647189
755.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
191790
224.7 IPS |
|
|
Object Detection (SP)
|
100% |
16481
1.31 KIPS |
|
|
Object Detection (HP)
|
99% |
19235
1.53 KIPS |
|
|
Object Detection (Q)
|
87% |
15536
1.25 KIPS |
|
|
Face Detection (SP)
|
100% |
46092
547.7 IPS |
|
|
Face Detection (HP)
|
100% |
53514
635.9 IPS |
|
|
Face Detection (Q)
|
97% |
42678
508.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
87530
674.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
127629
983.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
71384
572.1 IPS |
|
|
Style Transfer (SP)
|
100% |
396091
509.2 IPS |
|
|
Style Transfer (HP)
|
100% |
714501
918.5 IPS |
|
|
Style Transfer (Q)
|
98% |
361937
466.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54002
1.99 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
88293
3.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45157
1.67 KIPS |
|
|
Text Classification (SP)
|
100% |
5107
6.82 KIPS |
|
|
Text Classification (HP)
|
100% |
4144
5.53 KIPS |
|
|
Text Classification (Q)
|
97% |
2717
3.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
5390
92.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5393
92.9 IPS |
|
|
Machine Translation (Q)
|
70% |
3394
63.7 IPS |
