PCSpecialist Recoil 16
Geekbench AI Score
26637
Single Precision Score
39211
Half Precision Score
19995
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 04 2025 10:40 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | PCSpecialist Recoil 16 |
| Motherboard | TongFang GM6PX8_9X |
| Power Plan | Echilibrat |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10385
1.93 KIPS |
|
|
Image Classification (HP)
|
99% |
15983
2.98 KIPS |
|
|
Image Classification (Q)
|
100% |
8729
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19833
321.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
25896
419.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
17033
277.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
158481
184.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
384419
448.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
142459
166.9 IPS |
|
|
Object Detection (SP)
|
100% |
13308
1.06 KIPS |
|
|
Object Detection (HP)
|
100% |
20174
1.60 KIPS |
|
|
Object Detection (Q)
|
85% |
11041
888.8 IPS |
|
|
Face Detection (SP)
|
100% |
37962
451.1 IPS |
|
|
Face Detection (HP)
|
100% |
51976
617.6 IPS |
|
|
Face Detection (Q)
|
97% |
32996
393.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
63130
486.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
105096
812.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
49203
393.4 IPS |
|
|
Style Transfer (SP)
|
100% |
262792
337.8 IPS |
|
|
Style Transfer (HP)
|
100% |
569397
732.0 IPS |
|
|
Style Transfer (Q)
|
98% |
232821
300.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40404
1.49 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
42251
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27816
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
3405
4.55 KIPS |
|
|
Text Classification (HP)
|
99% |
4191
5.59 KIPS |
|
|
Text Classification (Q)
|
97% |
1786
2.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
4778
82.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4860
83.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2327
43.6 IPS |
