Micro-Star International Co., Ltd. MS-7E54
Geekbench AI Score
27270
Single Precision Score
47660
Half Precision Score
21225
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | August 21 2025 08:58 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E54 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z890-S WIFI (MS-7E54) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265KF |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11034
2.05 KIPS |
|
|
Image Classification (HP)
|
100% |
20076
3.73 KIPS |
|
|
Image Classification (Q)
|
100% |
9938
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18099
293.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
25788
418.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
17020
276.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
162740
189.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
451408
526.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
135121
158.3 IPS |
|
|
Object Detection (SP)
|
100% |
14478
1.15 KIPS |
|
|
Object Detection (HP)
|
100% |
24295
1.93 KIPS |
|
|
Object Detection (Q)
|
83% |
12566
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
37259
442.7 IPS |
|
|
Face Detection (HP)
|
100% |
53767
638.9 IPS |
|
|
Face Detection (Q)
|
97% |
32217
384.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
66950
515.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
126785
976.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
52378
418.1 IPS |
|
|
Style Transfer (SP)
|
100% |
222595
286.1 IPS |
|
|
Style Transfer (HP)
|
100% |
759155
975.9 IPS |
|
|
Style Transfer (Q)
|
98% |
191604
247.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40068
1.48 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
73633
2.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31437
1.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3973
5.30 KIPS |
|
|
Text Classification (HP)
|
100% |
5033
6.72 KIPS |
|
|
Text Classification (Q)
|
97% |
2388
3.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
5469
94.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5554
95.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2663
49.9 IPS |
