HP HP ZBook Fury 17.3 inch G8 Mobile Workstation PC
Geekbench AI Score
3454
Single Precision Score
1431
Half Precision Score
6046
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 02 2025 02:39 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon W-11955M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | HP HP ZBook Fury 17.3 inch G8 Mobile Workstation PC |
| Motherboard | HP 886D |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel Xeon W-11955M |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.61 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3165
588.7 IPS |
|
|
Image Classification (HP)
|
100% |
492
91.5 IPS |
|
|
Image Classification (Q)
|
99% |
6595
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1522
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
805
13.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3190
51.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5712
6.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
4397
5.13 IPS |
|
|
Pose Estimation (Q)
|
94% |
18559
21.8 IPS |
|
|
Object Detection (SP)
|
100% |
2748
218.0 IPS |
|
|
Object Detection (HP)
|
100% |
656
52.0 IPS |
|
|
Object Detection (Q)
|
86% |
6339
509.5 IPS |
|
|
Face Detection (SP)
|
100% |
4116
48.9 IPS |
|
|
Face Detection (HP)
|
100% |
1351
16.0 IPS |
|
|
Face Detection (Q)
|
97% |
8662
103.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7458
57.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1991
15.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
13053
104.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12982
16.7 IPS |
|
|
Style Transfer (HP)
|
100% |
10807
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
14760
19.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2595
95.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2078
76.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3731
138.2 IPS |
|
|
Text Classification (SP)
|
100% |
1561
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
778
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
1394
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1980
34.1 IPS |
|
|
Machine Translation (HP)
|
100% |
671
11.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3042
61.1 IPS |
