Mac Pro (Early 2008)
Geekbench AI Score
1830
Single Precision Score
1837
Half Precision Score
134
Quantized Score
Geekbench AI 1.1.0 for macOS x86 (64-bit)
Result Information
| User | absolutzombie |
| Upload Date | October 03 2024 02:52 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon HD Tahiti XT Prototype |
| 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% |
1466
272.7 IPS |
|
|
Image Classification (HP)
|
100% |
1503
279.4 IPS |
|
|
Image Classification (Q)
|
96% |
22
4.10 IPS |
|
|
Image Segmentation (SP)
|
100% |
149
2.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
139
2.26 IPS |
|
|
Image Segmentation (Q)
|
99% |
46
0.75 IPS |
|
|
Pose Estimation (SP)
|
100% |
13392
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
13391
15.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
685
0.80 IPS |
|
|
Object Detection (SP)
|
100% |
1420
112.6 IPS |
|
|
Object Detection (HP)
|
100% |
1439
114.2 IPS |
|
|
Object Detection (Q)
|
92% |
28
2.20 IPS |
|
|
Face Detection (SP)
|
100% |
5214
61.9 IPS |
|
|
Face Detection (HP)
|
100% |
5330
63.3 IPS |
|
|
Face Detection (Q)
|
100% |
44
0.53 IPS |
|
|
Depth Estimation (SP)
|
100% |
7423
57.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
7294
56.2 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
48.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17257
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
17697
22.7 IPS |
|
|
Style Transfer (Q)
|
96% |
19287
24.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2241
82.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2393
88.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2173
80.2 IPS |
|
|
Text Classification (SP)
|
100% |
269
359.6 IPS |
|
|
Text Classification (HP)
|
100% |
273
363.8 IPS |
|
|
Text Classification (Q)
|
93% |
220
294.9 IPS |
|
|
Machine Translation (SP)
|
100% |
253
4.36 IPS |
|
|
Machine Translation (HP)
|
100% |
242
4.16 IPS |
|
|
Machine Translation (Q)
|
98% |
243
4.19 IPS |
