Apple Inc. MacPro6,1
Geekbench AI Score
1394
Single Precision Score
675
Half Precision Score
1350
Quantized Score
Geekbench AI 1.5.0 for Windows x86 (64-bit)
Result Information
| User | neuromancer25 |
| Upload Date | October 04 2025 07:24 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-1650 v2 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | Apple Inc. MacPro6,1 |
| Motherboard | Apple Inc. Mac-F60DEB81FF30ACF6 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-1650 v2 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1005
187.0 IPS |
|
|
Image Classification (HP)
|
100% |
277
51.5 IPS |
|
|
Image Classification (Q)
|
96% |
943
176.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
676
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
398
6.46 IPS |
|
|
Image Segmentation (Q)
|
97% |
1251
20.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2019
2.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
1500
1.75 IPS |
|
|
Pose Estimation (Q)
|
86% |
1953
2.31 IPS |
|
|
Object Detection (SP)
|
100% |
1010
80.1 IPS |
|
|
Object Detection (HP)
|
100% |
338
26.8 IPS |
|
|
Object Detection (Q)
|
58% |
697
76.2 IPS |
|
|
Face Detection (SP)
|
100% |
2430
28.9 IPS |
|
|
Face Detection (HP)
|
100% |
794
9.43 IPS |
|
|
Face Detection (Q)
|
96% |
2146
25.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2557
19.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
979
7.55 IPS |
|
|
Depth Estimation (Q)
|
78% |
2131
17.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4905
6.30 IPS |
|
|
Style Transfer (HP)
|
100% |
3883
4.99 IPS |
|
|
Style Transfer (Q)
|
87% |
4242
5.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
969
35.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
807
29.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1028
38.1 IPS |
|
|
Text Classification (SP)
|
100% |
701
935.4 IPS |
|
|
Text Classification (HP)
|
100% |
356
475.5 IPS |
|
|
Text Classification (Q)
|
97% |
603
808.1 IPS |
|
|
Machine Translation (SP)
|
100% |
969
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
411
7.07 IPS |
|
|
Machine Translation (Q)
|
68% |
1045
20.2 IPS |
