Micro-Star International Co., Ltd. MS-7E17
Geekbench AI Score
9195
Single Precision Score
9222
Half Precision Score
13158
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | MemoryzoneBySieuToc |
| Upload Date | October 18 2024 04:23 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E17 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z890 CARBON WIFI (MS-7E17) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6640
1.23 KIPS |
|
|
Image Classification (HP)
|
100% |
6766
1.26 KIPS |
|
|
Image Classification (Q)
|
56% |
6193
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2775
45.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2784
45.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3687
59.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
34122
39.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
33967
39.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
73797
86.4 IPS |
|
|
Object Detection (SP)
|
98% |
5684
452.3 IPS |
|
|
Object Detection (HP)
|
100% |
5680
450.5 IPS |
|
|
Object Detection (Q)
|
87% |
9236
741.2 IPS |
|
|
Face Detection (SP)
|
100% |
15069
179.0 IPS |
|
|
Face Detection (HP)
|
100% |
14952
177.7 IPS |
|
|
Face Detection (Q)
|
100% |
24235
288.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
16732
128.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
16624
128.1 IPS |
|
|
Depth Estimation (Q)
|
80% |
31221
247.3 IPS |
|
|
Style Transfer (SP)
|
100% |
49040
63.0 IPS |
|
|
Style Transfer (HP)
|
100% |
49410
63.5 IPS |
|
|
Style Transfer (Q)
|
98% |
91627
118.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13622
503.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13542
500.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22348
827.6 IPS |
|
|
Text Classification (SP)
|
100% |
2290
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
2307
3.08 KIPS |
|
|
Text Classification (Q)
|
92% |
2270
3.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3137
54.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3191
55.0 IPS |
|
|
Machine Translation (Q)
|
90% |
2843
49.4 IPS |
