Micro-Star International Co., Ltd. MS-7E34
Geekbench AI Score
6924
Single Precision Score
2273
Half Precision Score
9866
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 08:56 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E34 |
| Motherboard | Micro-Star International Co., Ltd. Z890 GAMING PLUS WIFI (MS-7E34) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5388
1.00 KIPS |
|
|
Image Classification (HP)
|
100% |
645
119.9 IPS |
|
|
Image Classification (Q)
|
99% |
9185
1.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2599
42.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1094
17.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4218
68.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15545
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
8332
9.72 IPS |
|
|
Pose Estimation (Q)
|
94% |
50630
59.4 IPS |
|
|
Object Detection (SP)
|
100% |
4769
378.2 IPS |
|
|
Object Detection (HP)
|
100% |
1021
81.0 IPS |
|
|
Object Detection (Q)
|
86% |
11208
900.8 IPS |
|
|
Face Detection (SP)
|
100% |
13645
162.1 IPS |
|
|
Face Detection (HP)
|
100% |
2484
29.5 IPS |
|
|
Face Detection (Q)
|
97% |
12878
153.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
16254
125.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3396
26.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
23069
184.1 IPS |
|
|
Style Transfer (SP)
|
100% |
35156
45.2 IPS |
|
|
Style Transfer (HP)
|
100% |
19579
25.2 IPS |
|
|
Style Transfer (Q)
|
98% |
26662
34.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5649
208.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3414
126.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6872
254.5 IPS |
|
|
Text Classification (SP)
|
100% |
1957
2.61 KIPS |
|
|
Text Classification (HP)
|
100% |
982
1.31 KIPS |
|
|
Text Classification (Q)
|
97% |
1740
2.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2831
48.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1112
19.2 IPS |
|
|
Machine Translation (Q)
|
65% |
4197
84.3 IPS |
