Micro-Star International Co., Ltd. MS-7E33
Geekbench AI Score
34210
Single Precision Score
47056
Half Precision Score
28556
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | hwbench |
| Upload Date | December 06 2025 04:45 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E33 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z890I EDGE TI WIFI (MS-7E33) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14948
2.78 KIPS |
|
|
Image Classification (HP)
|
100% |
16120
3.00 KIPS |
|
|
Image Classification (Q)
|
99% |
13403
2.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22027
357.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
26199
424.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
20611
335.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
216331
252.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
607144
708.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
196497
230.2 IPS |
|
|
Object Detection (SP)
|
100% |
15008
1.19 KIPS |
|
|
Object Detection (HP)
|
99% |
19022
1.51 KIPS |
|
|
Object Detection (Q)
|
87% |
13443
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
47072
559.3 IPS |
|
|
Face Detection (HP)
|
100% |
53715
638.3 IPS |
|
|
Face Detection (Q)
|
97% |
41195
491.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
82903
638.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
124466
958.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
70125
562.0 IPS |
|
|
Style Transfer (SP)
|
100% |
397335
510.8 IPS |
|
|
Style Transfer (HP)
|
100% |
680083
874.3 IPS |
|
|
Style Transfer (Q)
|
98% |
358121
461.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51920
1.92 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
80263
2.96 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41575
1.54 KIPS |
|
|
Text Classification (SP)
|
100% |
4356
5.81 KIPS |
|
|
Text Classification (HP)
|
100% |
5033
6.72 KIPS |
|
|
Text Classification (Q)
|
97% |
3094
4.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
5857
100.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5942
102.4 IPS |
|
|
Machine Translation (Q)
|
70% |
3714
69.7 IPS |
