Micro-Star International Co., Ltd. MS-7E33
Geekbench AI Score
33456
Single Precision Score
46399
Half Precision Score
27582
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | hwbench |
| Upload Date | November 16 2025 09:44 AM |
| Views | 10 |
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% |
15059
2.80 KIPS |
|
|
Image Classification (HP)
|
100% |
16669
3.10 KIPS |
|
|
Image Classification (Q)
|
99% |
13494
2.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20783
336.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
25231
409.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
19585
318.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
196393
229.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
592352
691.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
182549
213.8 IPS |
|
|
Object Detection (SP)
|
100% |
13421
1.06 KIPS |
|
|
Object Detection (HP)
|
99% |
18160
1.44 KIPS |
|
|
Object Detection (Q)
|
87% |
11957
960.3 IPS |
|
|
Face Detection (SP)
|
100% |
43796
520.4 IPS |
|
|
Face Detection (HP)
|
100% |
49773
591.4 IPS |
|
|
Face Detection (Q)
|
97% |
39226
467.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
82245
633.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
118637
914.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
67653
542.2 IPS |
|
|
Style Transfer (SP)
|
100% |
383381
492.8 IPS |
|
|
Style Transfer (HP)
|
100% |
662352
851.5 IPS |
|
|
Style Transfer (Q)
|
98% |
338616
436.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
48950
1.81 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
82379
3.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40453
1.50 KIPS |
|
|
Text Classification (SP)
|
100% |
5389
7.19 KIPS |
|
|
Text Classification (HP)
|
100% |
5409
7.22 KIPS |
|
|
Text Classification (Q)
|
97% |
3326
4.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
5848
100.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5866
101.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3654
68.5 IPS |
