Micro-Star International Co., Ltd. MS-7D89
Geekbench AI Score
5075
Single Precision Score
5027
Half Precision Score
15210
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Razzer85 |
| Upload Date | August 18 2024 07:30 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900KS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D89 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z790 CARBON WIFI (MS-7D89) |
| Power Plan | Ultimative Leistung |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) i9-14900KS |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3325
618.3 IPS |
|
|
Image Classification (HP)
|
100% |
3323
618.0 IPS |
|
|
Image Classification (Q)
|
100% |
9078
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4119
66.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4027
65.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
8967
145.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8649
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
8750
10.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
32736
38.3 IPS |
|
|
Object Detection (SP)
|
100% |
3011
238.8 IPS |
|
|
Object Detection (HP)
|
100% |
3006
238.4 IPS |
|
|
Object Detection (Q)
|
88% |
9699
777.5 IPS |
|
|
Face Detection (SP)
|
100% |
9920
117.9 IPS |
|
|
Face Detection (HP)
|
100% |
9992
118.7 IPS |
|
|
Face Detection (Q)
|
100% |
24838
295.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9319
71.8 IPS |
|
|
Depth Estimation (HP)
|
100% |
9237
71.2 IPS |
|
|
Depth Estimation (Q)
|
80% |
26411
209.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24768
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
25031
32.2 IPS |
|
|
Style Transfer (Q)
|
98% |
89708
115.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4215
155.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4340
160.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16182
599.3 IPS |
|
|
Text Classification (SP)
|
100% |
1286
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
1269
1.69 KIPS |
|
|
Text Classification (Q)
|
92% |
4558
6.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2561
44.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2304
39.7 IPS |
|
|
Machine Translation (Q)
|
85% |
5909
103.4 IPS |
