Micro-Star International Co., Ltd. MS-7D94
Geekbench AI Score
21827
Single Precision Score
29657
Half Precision Score
17512
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 11 2025 03:38 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D94 |
| Motherboard | Micro-Star International Co., Ltd. Z790 GAMING WIFI (MS-7D94) |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8998
1.67 KIPS |
|
|
Image Classification (HP)
|
99% |
12094
2.26 KIPS |
|
|
Image Classification (Q)
|
100% |
8134
1.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9376
152.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
10354
167.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
8821
143.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
171329
199.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
356937
416.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
154236
180.7 IPS |
|
|
Object Detection (SP)
|
100% |
9786
776.2 IPS |
|
|
Object Detection (HP)
|
100% |
12408
984.2 IPS |
|
|
Object Detection (Q)
|
85% |
8620
693.4 IPS |
|
|
Face Detection (SP)
|
100% |
23066
274.1 IPS |
|
|
Face Detection (HP)
|
100% |
27683
328.9 IPS |
|
|
Face Detection (Q)
|
97% |
20770
247.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
65299
503.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
103772
801.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
51573
412.3 IPS |
|
|
Style Transfer (SP)
|
100% |
297265
382.1 IPS |
|
|
Style Transfer (HP)
|
100% |
573148
736.8 IPS |
|
|
Style Transfer (Q)
|
98% |
266103
343.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42074
1.55 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50619
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32251
1.19 KIPS |
|
|
Text Classification (SP)
|
100% |
4098
5.47 KIPS |
|
|
Text Classification (HP)
|
99% |
5110
6.82 KIPS |
|
|
Text Classification (Q)
|
97% |
2248
3.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2248
38.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2229
38.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1376
25.8 IPS |
