Micro-Star International Co., Ltd. MS-7B17
Geekbench AI Score
25514
Single Precision Score
36260
Half Precision Score
20302
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 25 2024 12:00 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B17 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z390 GAMING EDGE AC (MS-7B17) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10592
1.97 KIPS |
|
|
Image Classification (HP)
|
99% |
14632
2.73 KIPS |
|
|
Image Classification (Q)
|
100% |
9352
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13630
221.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16167
262.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
12887
209.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
180329
210.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
407045
475.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
160864
188.5 IPS |
|
|
Object Detection (SP)
|
100% |
12804
1.02 KIPS |
|
|
Object Detection (HP)
|
100% |
17555
1.39 KIPS |
|
|
Object Detection (Q)
|
85% |
11008
885.5 IPS |
|
|
Face Detection (SP)
|
100% |
32059
380.9 IPS |
|
|
Face Detection (HP)
|
100% |
38924
462.5 IPS |
|
|
Face Detection (Q)
|
97% |
28588
340.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
68898
530.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
115674
893.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
53276
425.9 IPS |
|
|
Style Transfer (SP)
|
100% |
318900
410.0 IPS |
|
|
Style Transfer (HP)
|
100% |
692574
890.3 IPS |
|
|
Style Transfer (Q)
|
98% |
282471
364.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43852
1.62 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
53605
1.98 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32437
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3178
4.24 KIPS |
|
|
Text Classification (HP)
|
99% |
3882
5.18 KIPS |
|
|
Text Classification (Q)
|
97% |
1925
2.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3573
61.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3582
61.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2075
38.9 IPS |
