Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
24004
Single Precision Score
35176
Half Precision Score
14456
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Surinder |
| Upload Date | November 08 2025 11:12 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E32 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z890 TOMAHAWK WIFI (MS-7E32) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8624
1.60 KIPS |
|
|
Image Classification (HP)
|
99% |
12051
2.25 KIPS |
|
|
Image Classification (Q)
|
100% |
6068
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18063
292.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
25874
419.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
12327
200.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
168372
196.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
354538
413.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
124406
145.8 IPS |
|
|
Object Detection (SP)
|
100% |
11839
939.0 IPS |
|
|
Object Detection (HP)
|
100% |
16289
1.29 KIPS |
|
|
Object Detection (Q)
|
85% |
8097
651.3 IPS |
|
|
Face Detection (SP)
|
100% |
34842
414.0 IPS |
|
|
Face Detection (HP)
|
100% |
48295
573.8 IPS |
|
|
Face Detection (Q)
|
97% |
22230
265.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
61313
472.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
101948
785.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
34742
278.2 IPS |
|
|
Style Transfer (SP)
|
100% |
263973
339.3 IPS |
|
|
Style Transfer (HP)
|
100% |
605831
778.8 IPS |
|
|
Style Transfer (Q)
|
98% |
190494
245.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35773
1.32 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
49211
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19842
734.7 IPS |
|
|
Text Classification (SP)
|
100% |
2241
2.99 KIPS |
|
|
Text Classification (HP)
|
99% |
2427
3.24 KIPS |
|
|
Text Classification (Q)
|
97% |
1234
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
4525
77.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4522
77.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1469
27.6 IPS |
