Micro-Star International Co., Ltd. MS-7E33
Geekbench AI Score
32119
Single Precision Score
43523
Half Precision Score
27585
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | hwbench |
| Upload Date | November 16 2025 09:41 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% |
15316
2.85 KIPS |
|
|
Image Classification (HP)
|
100% |
16711
3.11 KIPS |
|
|
Image Classification (Q)
|
99% |
13606
2.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15116
245.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
17442
282.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
18894
307.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
208764
243.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
590918
689.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
191244
224.0 IPS |
|
|
Object Detection (SP)
|
100% |
12843
1.02 KIPS |
|
|
Object Detection (HP)
|
99% |
17696
1.40 KIPS |
|
|
Object Detection (Q)
|
87% |
12042
967.1 IPS |
|
|
Face Detection (SP)
|
100% |
45041
535.2 IPS |
|
|
Face Detection (HP)
|
100% |
52169
619.9 IPS |
|
|
Face Detection (Q)
|
97% |
40220
479.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
82464
635.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
119646
921.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
66667
534.3 IPS |
|
|
Style Transfer (SP)
|
100% |
373760
480.5 IPS |
|
|
Style Transfer (HP)
|
100% |
649836
835.4 IPS |
|
|
Style Transfer (Q)
|
98% |
345350
445.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49530
1.83 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
76620
2.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41456
1.54 KIPS |
|
|
Text Classification (SP)
|
100% |
4951
6.61 KIPS |
|
|
Text Classification (HP)
|
100% |
4562
6.09 KIPS |
|
|
Text Classification (Q)
|
97% |
3226
4.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
5530
95.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5645
97.2 IPS |
|
|
Machine Translation (Q)
|
70% |
3480
65.3 IPS |
