Default string Default string
Geekbench AI Score
4485
Single Precision Score
4519
Half Precision Score
11635
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | ragnarokchan |
| Upload Date | October 05 2024 07:12 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i9-13900HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2905
540.2 IPS |
|
|
Image Classification (HP)
|
100% |
3011
560.0 IPS |
|
|
Image Classification (Q)
|
100% |
7868
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3468
56.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3579
58.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
6842
110.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6895
8.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
7000
8.17 IPS |
|
|
Pose Estimation (Q)
|
96% |
24662
28.9 IPS |
|
|
Object Detection (SP)
|
100% |
2663
211.2 IPS |
|
|
Object Detection (HP)
|
100% |
2726
216.2 IPS |
|
|
Object Detection (Q)
|
88% |
8310
666.2 IPS |
|
|
Face Detection (SP)
|
100% |
9136
108.6 IPS |
|
|
Face Detection (HP)
|
100% |
9059
107.6 IPS |
|
|
Face Detection (Q)
|
100% |
20160
239.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7885
60.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
7909
60.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
22442
174.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19626
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
20195
26.0 IPS |
|
|
Style Transfer (Q)
|
98% |
72748
93.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3810
140.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3823
141.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13419
497.0 IPS |
|
|
Text Classification (SP)
|
100% |
1344
1.79 KIPS |
|
|
Text Classification (HP)
|
100% |
1294
1.73 KIPS |
|
|
Text Classification (Q)
|
92% |
3918
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2461
42.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2418
41.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2383
41.0 IPS |
