INTEL X99
Geekbench AI Score
1826
Single Precision Score
1914
Half Precision Score
1395
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Arwindpianist |
| Upload Date | November 15 2025 02:21 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GT 1030 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | INTEL X99 |
| Motherboard | INTEL X99 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2680 v4 |
| Topology | 1 Processor, 14 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 14 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
402
74.8 IPS |
|
|
Image Classification (HP)
|
100% |
796
148.1 IPS |
|
|
Image Classification (Q)
|
99% |
380
70.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1099
17.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1027
16.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
922
15.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8227
9.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
5276
6.16 IPS |
|
|
Pose Estimation (Q)
|
96% |
6938
8.13 IPS |
|
|
Object Detection (SP)
|
100% |
560
44.4 IPS |
|
|
Object Detection (HP)
|
100% |
955
75.8 IPS |
|
|
Object Detection (Q)
|
83% |
515
41.6 IPS |
|
|
Face Detection (SP)
|
100% |
1071
12.7 IPS |
|
|
Face Detection (HP)
|
100% |
1686
20.0 IPS |
|
|
Face Detection (Q)
|
97% |
970
11.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3597
27.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3431
26.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
2962
23.6 IPS |
|
|
Style Transfer (SP)
|
100% |
15784
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9781
12.6 IPS |
|
|
Style Transfer (Q)
|
98% |
12745
16.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3276
121.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2704
99.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2184
80.9 IPS |
|
|
Text Classification (SP)
|
100% |
785
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
836
1.12 KIPS |
|
|
Text Classification (Q)
|
97% |
484
648.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1301
22.4 IPS |
|
|
Machine Translation (HP)
|
96% |
1258
21.7 IPS |
|
|
Machine Translation (Q)
|
70% |
579
10.9 IPS |
