Micro-Star International Co., Ltd. MS-7D91
Geekbench AI Score
4644
Single Precision Score
1517
Half Precision Score
6907
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | braveheart_ol |
| Upload Date | December 30 2024 04:51 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D91 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z790 EDGE WIFI DDR4 (MS-7D91) |
| Power Plan | Balanced |
| 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% |
3945
733.7 IPS |
|
|
Image Classification (HP)
|
100% |
541
100.7 IPS |
|
|
Image Classification (Q)
|
99% |
6573
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2010
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
972
15.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3848
62.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9695
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
4443
5.18 IPS |
|
|
Pose Estimation (Q)
|
94% |
29425
34.5 IPS |
|
|
Object Detection (SP)
|
100% |
3360
266.5 IPS |
|
|
Object Detection (HP)
|
100% |
724
57.4 IPS |
|
|
Object Detection (Q)
|
86% |
6918
556.0 IPS |
|
|
Face Detection (SP)
|
100% |
8254
98.1 IPS |
|
|
Face Detection (HP)
|
100% |
1633
19.4 IPS |
|
|
Face Detection (Q)
|
97% |
8662
103.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10153
78.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1949
15.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
15928
127.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20629
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
10708
13.8 IPS |
|
|
Style Transfer (Q)
|
98% |
16644
21.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3190
117.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2039
75.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4623
171.2 IPS |
|
|
Text Classification (SP)
|
100% |
1572
2.10 KIPS |
|
|
Text Classification (HP)
|
100% |
711
948.8 IPS |
|
|
Text Classification (Q)
|
97% |
1618
2.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
2088
36.0 IPS |
|
|
Machine Translation (HP)
|
100% |
774
13.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2796
56.2 IPS |
