Apple Inc. MacPro3,1
Geekbench AI Score
31
Single Precision Score
31
Half Precision Score
24
Quantized Score
Geekbench AI 1.3.0 for Linux x86 (64-bit)
Result Information
| User | srini5 |
| Upload Date | March 23 2025 07:57 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon X5472 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | Apple Inc. MacPro3,1 |
| Motherboard | Apple Inc. Mac-F42C88C8 |
| CPU Information | |
|---|---|
| Name | Intel Xeon X5472 |
| Topology | 2 Processors, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 23 Stepping 6 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.61 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
18
3.37 IPS |
|
|
Image Classification (HP)
|
100% |
18
3.37 IPS |
|
|
Image Classification (Q)
|
97% |
15
2.84 IPS |
|
|
Image Segmentation (SP)
|
100% |
25
0.40 IPS |
|
|
Image Segmentation (HP)
|
100% |
25
0.40 IPS |
|
|
Image Segmentation (Q)
|
98% |
20
0.33 IPS |
|
|
Pose Estimation (SP)
|
100% |
29
0.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
29
0.03 IPS |
|
|
Pose Estimation (Q)
|
96% |
25
0.03 IPS |
|
|
Object Detection (SP)
|
100% |
18
1.40 IPS |
|
|
Object Detection (HP)
|
100% |
18
1.39 IPS |
|
|
Object Detection (Q)
|
87% |
15
1.18 IPS |
|
|
Face Detection (SP)
|
100% |
57
0.68 IPS |
|
|
Face Detection (HP)
|
100% |
57
0.68 IPS |
|
|
Face Detection (Q)
|
97% |
48
0.57 IPS |
|
|
Depth Estimation (SP)
|
100% |
41
0.32 IPS |
|
|
Depth Estimation (HP)
|
99% |
41
0.32 IPS |
|
|
Depth Estimation (Q)
|
64% |
30
0.27 IPS |
|
|
Style Transfer (SP)
|
100% |
85
0.11 IPS |
|
|
Style Transfer (HP)
|
100% |
85
0.11 IPS |
|
|
Style Transfer (Q)
|
98% |
75
0.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19
0.68 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19
0.68 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
16
0.58 IPS |
|
|
Text Classification (SP)
|
100% |
23
31.0 IPS |
|
|
Text Classification (HP)
|
100% |
23
31.0 IPS |
|
|
Text Classification (Q)
|
91% |
18
23.8 IPS |
|
|
Machine Translation (SP)
|
100% |
45
0.77 IPS |
|
|
Machine Translation (HP)
|
100% |
45
0.77 IPS |
|
|
Machine Translation (Q)
|
58% |
24
0.57 IPS |
