Default string Default string
Geekbench AI Score
31838
Single Precision Score
66202
Half Precision Score
69549
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 07 2026 07:58 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Pro (dGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13650HX |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16928
3.15 KIPS |
|
|
Image Classification (HP)
|
100% |
30600
5.69 KIPS |
|
|
Image Classification (Q)
|
100% |
28123
5.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
36313
588.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
61730
1.00 KIPS |
|
|
Image Segmentation (Q)
|
99% |
67371
1.09 KIPS |
|
|
Pose Estimation (SP)
|
100% |
113398
132.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
451275
526.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
855198
1.00 KIPS |
|
|
Object Detection (SP)
|
100% |
14232
1.13 KIPS |
|
|
Object Detection (HP)
|
100% |
36742
2.91 KIPS |
|
|
Object Detection (Q)
|
88% |
35488
2.84 KIPS |
|
|
Face Detection (SP)
|
100% |
43372
515.4 IPS |
|
|
Face Detection (HP)
|
100% |
86411
1.03 KIPS |
|
|
Face Detection (Q)
|
100% |
93831
1.11 KIPS |
|
|
Depth Estimation (SP)
|
100% |
70384
542.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
183375
1.41 KIPS |
|
|
Depth Estimation (Q)
|
89% |
182157
1.42 KIPS |
|
|
Style Transfer (SP)
|
100% |
299736
385.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1026712
1.32 KIPS |
|
|
Style Transfer (Q)
|
98% |
1413877
1.82 KIPS |
|
|
Image Super-Resolution (SP)
|
100% |
42866
1.58 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
95523
3.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
93541
3.46 KIPS |
|
|
Text Classification (SP)
|
100% |
4834
6.45 KIPS |
|
|
Text Classification (HP)
|
100% |
5091
6.80 KIPS |
|
|
Text Classification (Q)
|
92% |
3114
4.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
5690
98.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6526
112.8 IPS |
|
|
Machine Translation (Q)
|
100% |
6542
112.7 IPS |
