CyberPowerPC TRACER III
Geekbench AI Score
5320
Single Precision Score
5223
Half Precision Score
3993
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | fenom |
| Upload Date | September 20 2025 06:06 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | CyberPowerPC TRACER III |
| Motherboard | CyberPowerPC TRACER III |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1255
233.4 IPS |
|
|
Image Classification (HP)
|
100% |
2186
406.5 IPS |
|
|
Image Classification (Q)
|
99% |
1148
214.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3619
58.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3282
53.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3001
48.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
29986
35.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
17134
20.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
24900
29.2 IPS |
|
|
Object Detection (SP)
|
100% |
1799
142.7 IPS |
|
|
Object Detection (HP)
|
100% |
2791
221.4 IPS |
|
|
Object Detection (Q)
|
83% |
1596
128.9 IPS |
|
|
Face Detection (SP)
|
100% |
3649
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
5235
62.2 IPS |
|
|
Face Detection (Q)
|
97% |
3189
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11349
87.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
10170
78.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
9095
72.6 IPS |
|
|
Style Transfer (SP)
|
100% |
50905
65.4 IPS |
|
|
Style Transfer (HP)
|
100% |
31625
40.7 IPS |
|
|
Style Transfer (Q)
|
98% |
41118
53.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10860
401.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7438
274.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6901
255.5 IPS |
|
|
Text Classification (SP)
|
100% |
1254
1.67 KIPS |
|
|
Text Classification (HP)
|
100% |
1411
1.88 KIPS |
|
|
Text Classification (Q)
|
97% |
751
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2586
44.5 IPS |
|
|
Machine Translation (HP)
|
96% |
2496
43.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1220
22.9 IPS |
