System manufacturer System Product Name
Geekbench AI Score
568
Single Precision Score
370
Half Precision Score
755
Quantized Score
Geekbench AI 1.7.0 for Windows x86 (64-bit)
Result Information
| User | janne77 |
| Upload Date | April 12 2026 06:48 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-950 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK Computer INC. SABERTOOTH X58 |
| Power Plan | Tasapainotettu |
| CPU Information | |
|---|---|
| Name | Intel Core i7-950 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 26 Stepping 5 |
| Base Frequency | 3.07 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
364
67.7 IPS |
|
|
Image Classification (HP)
|
100% |
167
31.0 IPS |
|
|
Image Classification (Q)
|
96% |
562
104.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
315
5.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
224
3.63 IPS |
|
|
Image Segmentation (Q)
|
97% |
614
10.00 IPS |
|
|
Pose Estimation (SP)
|
100% |
652
0.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
637
0.74 IPS |
|
|
Pose Estimation (Q)
|
86% |
1079
1.28 IPS |
|
|
Object Detection (SP)
|
100% |
344
27.3 IPS |
|
|
Object Detection (HP)
|
100% |
196
15.5 IPS |
|
|
Object Detection (Q)
|
58% |
401
43.8 IPS |
|
|
Face Detection (SP)
|
100% |
989
11.7 IPS |
|
|
Face Detection (HP)
|
100% |
470
5.58 IPS |
|
|
Face Detection (Q)
|
96% |
1281
15.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
927
7.15 IPS |
|
|
Depth Estimation (HP)
|
99% |
549
4.23 IPS |
|
|
Depth Estimation (Q)
|
78% |
1241
9.88 IPS |
|
|
Style Transfer (SP)
|
100% |
1741
2.24 IPS |
|
|
Style Transfer (HP)
|
100% |
1735
2.23 IPS |
|
|
Style Transfer (Q)
|
87% |
2280
2.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
376
13.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
366
13.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
630
23.3 IPS |
|
|
Text Classification (SP)
|
100% |
410
547.5 IPS |
|
|
Text Classification (HP)
|
100% |
233
311.1 IPS |
|
|
Text Classification (Q)
|
97% |
247
331.1 IPS |
|
|
Machine Translation (SP)
|
100% |
557
9.60 IPS |
|
|
Machine Translation (HP)
|
100% |
277
4.77 IPS |
|
|
Machine Translation (Q)
|
68% |
722
14.0 IPS |
