Micro-Star International Co., Ltd. MS-7E33
Geekbench AI Score
32734
Single Precision Score
45723
Half Precision Score
27562
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | hwbench |
| Upload Date | December 06 2025 12:25 AM |
| Views | 7 |
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% |
14434
2.68 KIPS |
|
|
Image Classification (HP)
|
100% |
15857
2.95 KIPS |
|
|
Image Classification (Q)
|
99% |
12984
2.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21620
350.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
25850
419.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
20149
327.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
207304
241.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
590096
688.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
189114
221.5 IPS |
|
|
Object Detection (SP)
|
100% |
13385
1.06 KIPS |
|
|
Object Detection (HP)
|
99% |
18372
1.46 KIPS |
|
|
Object Detection (Q)
|
87% |
12157
976.4 IPS |
|
|
Face Detection (SP)
|
100% |
45538
541.1 IPS |
|
|
Face Detection (HP)
|
100% |
53140
631.4 IPS |
|
|
Face Detection (Q)
|
97% |
40865
487.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
80634
621.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
120160
925.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
66659
534.2 IPS |
|
|
Style Transfer (SP)
|
100% |
383220
492.6 IPS |
|
|
Style Transfer (HP)
|
100% |
653850
840.5 IPS |
|
|
Style Transfer (Q)
|
98% |
345549
445.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49928
1.84 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
78348
2.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40270
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
3993
5.33 KIPS |
|
|
Text Classification (HP)
|
100% |
4823
6.44 KIPS |
|
|
Text Classification (Q)
|
97% |
3086
4.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
5816
100.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5697
98.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3597
67.5 IPS |
