Mac Pro (Early 2008)
Geekbench AI Score
165
Single Precision Score
48
Half Precision Score
34
Quantized Score
Geekbench AI 1.1.0 for macOS x86 (64-bit)
Result Information
| User | absolutzombie |
| Upload Date | October 03 2024 04:46 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Xeon X5482 |
| System Information | |
|---|---|
| Operating System | macOS 14.7 (Build 23H124) |
| Model | Mac Pro (Early 2008) |
| Model ID | MacPro3,1 |
| Motherboard | Apple Inc. Mac-27AD2F918AE68F61 MacPro3,1 |
| CPU Information | |
|---|---|
| Name | Intel Xeon X5482 |
| Topology | 2 Processors, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 23 Stepping 6 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 28.00 GB |
| Transfer Rate | 800 MT/s |
| Type | DDR2 FB-DIMM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
86
16.0 IPS |
|
|
Image Classification (HP)
|
100% |
38
7.12 IPS |
|
|
Image Classification (Q)
|
96% |
22
4.10 IPS |
|
|
Image Segmentation (SP)
|
100% |
84
1.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
32
0.52 IPS |
|
|
Image Segmentation (Q)
|
99% |
23
0.38 IPS |
|
|
Pose Estimation (SP)
|
100% |
586
0.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
267
0.31 IPS |
|
|
Pose Estimation (Q)
|
96% |
210
0.25 IPS |
|
|
Object Detection (SP)
|
100% |
86
6.80 IPS |
|
|
Object Detection (HP)
|
100% |
45
3.56 IPS |
|
|
Object Detection (Q)
|
92% |
27
2.15 IPS |
|
|
Face Detection (SP)
|
100% |
137
1.63 IPS |
|
|
Face Detection (HP)
|
100% |
67
0.79 IPS |
|
|
Face Detection (Q)
|
100% |
36
0.43 IPS |
|
|
Depth Estimation (SP)
|
100% |
230
1.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
108
0.83 IPS |
|
|
Depth Estimation (Q)
|
86% |
77
0.60 IPS |
|
|
Style Transfer (SP)
|
100% |
887
1.14 IPS |
|
|
Style Transfer (HP)
|
100% |
494
0.64 IPS |
|
|
Style Transfer (Q)
|
96% |
362
0.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
257
9.49 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
123
4.53 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
65
2.41 IPS |
|
|
Text Classification (SP)
|
100% |
74
98.7 IPS |
|
|
Text Classification (HP)
|
36% |
12
103.5 IPS |
|
|
Text Classification (Q)
|
36% |
12
103.0 IPS |
|
|
Machine Translation (SP)
|
100% |
81
1.40 IPS |
|
|
Machine Translation (HP)
|
0% |
0
0.94 IPS |
|
|
Machine Translation (Q)
|
0% |
0
0.77 IPS |
