Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
36243
Single Precision Score
62442
Half Precision Score
27090
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 01 2025 02:19 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E32 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z890-A WIFI (MS-7E32) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15067
2.80 KIPS |
|
|
Image Classification (HP)
|
100% |
22718
4.22 KIPS |
|
|
Image Classification (Q)
|
100% |
13125
2.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27872
451.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
41627
674.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
24283
394.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
183615
214.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
720082
840.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
163558
191.6 IPS |
|
|
Object Detection (SP)
|
100% |
18412
1.46 KIPS |
|
|
Object Detection (HP)
|
100% |
29798
2.36 KIPS |
|
|
Object Detection (Q)
|
86% |
14989
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
54918
652.5 IPS |
|
|
Face Detection (HP)
|
100% |
78135
928.4 IPS |
|
|
Face Detection (Q)
|
97% |
44614
531.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
89654
690.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
149439
1.15 KIPS |
|
|
Depth Estimation (Q)
|
78% |
66558
531.5 IPS |
|
|
Style Transfer (SP)
|
100% |
343744
441.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1102871
1.42 KIPS |
|
|
Style Transfer (Q)
|
98% |
284875
367.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51364
1.90 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
84361
3.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38685
1.43 KIPS |
|
|
Text Classification (SP)
|
100% |
4124
5.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5264
7.03 KIPS |
|
|
Text Classification (Q)
|
97% |
2568
3.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
7684
132.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7766
133.8 IPS |
|
|
Machine Translation (Q)
|
70% |
3242
60.8 IPS |
