Micro-Star International Co., Ltd. MS-7E22
Geekbench AI Score
35534
Single Precision Score
53165
Half Precision Score
26631
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 24 2025 08:06 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E22 |
| Motherboard | Micro-Star International Co., Ltd. MEG Z890 ACE (MS-7E22) |
| Power Plan | Ausbalanciert |
| 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% |
14146
2.63 KIPS |
|
|
Image Classification (HP)
|
99% |
20549
3.83 KIPS |
|
|
Image Classification (Q)
|
100% |
11804
2.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25608
415.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
34201
554.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
22876
372.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
192323
224.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
509467
594.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
182329
213.6 IPS |
|
|
Object Detection (SP)
|
100% |
17380
1.38 KIPS |
|
|
Object Detection (HP)
|
100% |
25299
2.01 KIPS |
|
|
Object Detection (Q)
|
85% |
14565
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
52170
619.9 IPS |
|
|
Face Detection (HP)
|
100% |
69653
827.6 IPS |
|
|
Face Detection (Q)
|
97% |
43046
513.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
86917
669.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
141491
1.09 KIPS |
|
|
Depth Estimation (Q)
|
77% |
65904
526.9 IPS |
|
|
Style Transfer (SP)
|
100% |
381284
490.1 IPS |
|
|
Style Transfer (HP)
|
100% |
862396
1.11 KIPS |
|
|
Style Transfer (Q)
|
98% |
330194
425.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55702
2.06 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
69687
2.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38874
1.44 KIPS |
|
|
Text Classification (SP)
|
100% |
4094
5.46 KIPS |
|
|
Text Classification (HP)
|
99% |
5036
6.72 KIPS |
|
|
Text Classification (Q)
|
97% |
2363
3.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
6723
115.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6678
115.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2908
54.5 IPS |
