250608 MBG-Z20 Micro-Star International Co., Ltd. MS-7E42
Geekbench AI Score
32680
Single Precision Score
55371
Half Precision Score
24520
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | gethen |
| Upload Date | June 08 2025 07:19 AM |
| Views | 21 |
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-7E42 |
| Motherboard | Micro-Star International Co., Ltd. B860M GAMING PLUS WIFI (MS-7E42) |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13101
2.44 KIPS |
|
|
Image Classification (HP)
|
100% |
19952
3.71 KIPS |
|
|
Image Classification (Q)
|
100% |
11359
2.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24273
393.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
35332
572.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
21536
350.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
173504
202.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
653047
762.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
157258
184.2 IPS |
|
|
Object Detection (SP)
|
100% |
16376
1.30 KIPS |
|
|
Object Detection (HP)
|
100% |
26011
2.06 KIPS |
|
|
Object Detection (Q)
|
86% |
13519
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
49047
582.8 IPS |
|
|
Face Detection (HP)
|
100% |
69505
825.9 IPS |
|
|
Face Detection (Q)
|
97% |
40091
478.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
82247
633.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
138601
1.07 KIPS |
|
|
Depth Estimation (Q)
|
78% |
60937
486.6 IPS |
|
|
Style Transfer (SP)
|
100% |
316341
406.7 IPS |
|
|
Style Transfer (HP)
|
100% |
1004778
1.29 KIPS |
|
|
Style Transfer (Q)
|
98% |
263671
340.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46433
1.71 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
73172
2.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34880
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
3881
5.18 KIPS |
|
|
Text Classification (HP)
|
100% |
4859
6.49 KIPS |
|
|
Text Classification (Q)
|
97% |
2305
3.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
6687
115.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6575
113.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2917
54.7 IPS |
