HP HP ZBook Fury 15 G7 Mobile Workstation
Geekbench AI Score
11375
Single Precision Score
18446
Half Precision Score
8074
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | rintalahri |
| Upload Date | June 12 2025 08:01 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA Quadro RTX 5000 with Max-Q Design |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ZBook Fury 15 G7 Mobile Workstation |
| Motherboard | HP 8783 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10885H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4620
859.2 IPS |
|
|
Image Classification (HP)
|
100% |
7180
1.34 KIPS |
|
|
Image Classification (Q)
|
99% |
3728
695.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
7807
126.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
11052
179.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
6600
107.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
57097
66.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
163037
190.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
48865
57.3 IPS |
|
|
Object Detection (SP)
|
100% |
6038
478.9 IPS |
|
|
Object Detection (HP)
|
100% |
9631
764.0 IPS |
|
|
Object Detection (Q)
|
84% |
4331
349.3 IPS |
|
|
Face Detection (SP)
|
100% |
13894
165.1 IPS |
|
|
Face Detection (HP)
|
100% |
21561
256.2 IPS |
|
|
Face Detection (Q)
|
97% |
11011
131.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
29240
225.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
56298
433.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
20478
164.0 IPS |
|
|
Style Transfer (SP)
|
100% |
110279
141.8 IPS |
|
|
Style Transfer (HP)
|
100% |
233251
299.8 IPS |
|
|
Style Transfer (Q)
|
98% |
87712
113.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18162
670.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27319
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
11487
425.4 IPS |
|
|
Text Classification (SP)
|
100% |
1579
2.11 KIPS |
|
|
Text Classification (HP)
|
99% |
2106
2.81 KIPS |
|
|
Text Classification (Q)
|
97% |
867
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2271
39.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2247
38.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1149
21.5 IPS |
