Micro-Star International Co., Ltd. MS-7E33
Geekbench AI Score
33066
Single Precision Score
45883
Half Precision Score
27781
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | hwbench |
| Upload Date | November 16 2025 09:43 AM |
| Views | 5 |
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 | Balanced |
| 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% |
15362
2.86 KIPS |
|
|
Image Classification (HP)
|
100% |
16545
3.08 KIPS |
|
|
Image Classification (Q)
|
99% |
13981
2.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20724
335.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
24873
403.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
19519
317.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
199471
232.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
587262
685.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
180320
211.2 IPS |
|
|
Object Detection (SP)
|
100% |
12933
1.03 KIPS |
|
|
Object Detection (HP)
|
99% |
18130
1.44 KIPS |
|
|
Object Detection (Q)
|
87% |
12005
964.2 IPS |
|
|
Face Detection (SP)
|
100% |
44202
525.2 IPS |
|
|
Face Detection (HP)
|
100% |
48267
573.5 IPS |
|
|
Face Detection (Q)
|
97% |
39748
473.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
78960
608.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
119672
922.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
67926
544.3 IPS |
|
|
Style Transfer (SP)
|
100% |
379054
487.3 IPS |
|
|
Style Transfer (HP)
|
100% |
674446
867.0 IPS |
|
|
Style Transfer (Q)
|
98% |
345007
444.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51423
1.90 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
78612
2.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39814
1.47 KIPS |
|
|
Text Classification (SP)
|
100% |
4810
6.42 KIPS |
|
|
Text Classification (HP)
|
100% |
5232
6.98 KIPS |
|
|
Text Classification (Q)
|
97% |
3432
4.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
5814
100.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5891
101.5 IPS |
|
|
Machine Translation (Q)
|
70% |
3643
68.3 IPS |
