GEEKOM IT15
Geekbench AI Score
10309
Single Precision Score
23990
Half Precision Score
30789
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 01 2025 10:49 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GEEKOM IT15 |
| Motherboard | GEEKOM IT15 |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7150
1.33 KIPS |
|
|
Image Classification (HP)
|
100% |
12516
2.33 KIPS |
|
|
Image Classification (Q)
|
100% |
16404
3.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7782
126.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
21047
341.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
25598
415.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
25542
29.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
104346
121.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
199403
233.5 IPS |
|
|
Object Detection (SP)
|
100% |
6677
529.6 IPS |
|
|
Object Detection (HP)
|
100% |
12257
972.2 IPS |
|
|
Object Detection (Q)
|
88% |
16682
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
10330
122.7 IPS |
|
|
Face Detection (HP)
|
100% |
25639
304.6 IPS |
|
|
Face Detection (Q)
|
100% |
38433
456.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
22288
171.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
52776
406.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
68414
531.8 IPS |
|
|
Style Transfer (SP)
|
100% |
60664
78.0 IPS |
|
|
Style Transfer (HP)
|
100% |
165306
212.5 IPS |
|
|
Style Transfer (Q)
|
98% |
278791
359.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10383
383.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31338
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37749
1.40 KIPS |
|
|
Text Classification (SP)
|
100% |
3175
4.24 KIPS |
|
|
Text Classification (HP)
|
100% |
4269
5.70 KIPS |
|
|
Text Classification (Q)
|
92% |
3109
4.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3103
53.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6265
108.3 IPS |
|
|
Machine Translation (Q)
|
100% |
6372
109.8 IPS |
