MacPro5,1
Geekbench AI Score
322
Single Precision Score
80
Half Precision Score
46
Quantized Score
Geekbench AI 1.2.0 for macOS x86 (64-bit)
Result Information
| User | Zztony |
| Upload Date | December 03 2024 11:28 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Xeon W3690 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| Model | MacPro5,1 |
| Model ID | MacPro5,1 |
| Motherboard | Apple Inc. Mac-F221BEC8 |
| CPU Information | |
|---|---|
| Name | Intel Xeon W3690 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 44 Stepping 2 |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
| Transfer Rate | 1333 MT/s |
| Type | DDR3 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
161
29.9 IPS |
|
|
Image Classification (HP)
|
100% |
100
18.6 IPS |
|
|
Image Classification (Q)
|
96% |
39
7.29 IPS |
|
|
Image Segmentation (SP)
|
100% |
202
3.27 IPS |
|
|
Image Segmentation (HP)
|
100% |
95
1.53 IPS |
|
|
Image Segmentation (Q)
|
99% |
55
0.88 IPS |
|
|
Pose Estimation (SP)
|
100% |
858
1.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
264
0.31 IPS |
|
|
Pose Estimation (Q)
|
96% |
217
0.25 IPS |
|
|
Object Detection (SP)
|
100% |
194
15.4 IPS |
|
|
Object Detection (HP)
|
100% |
122
9.68 IPS |
|
|
Object Detection (Q)
|
92% |
48
3.84 IPS |
|
|
Face Detection (SP)
|
100% |
449
5.34 IPS |
|
|
Face Detection (HP)
|
100% |
227
2.69 IPS |
|
|
Face Detection (Q)
|
100% |
66
0.78 IPS |
|
|
Depth Estimation (SP)
|
100% |
506
3.90 IPS |
|
|
Depth Estimation (HP)
|
99% |
243
1.87 IPS |
|
|
Depth Estimation (Q)
|
85% |
139
1.09 IPS |
|
|
Style Transfer (SP)
|
100% |
1273
1.64 IPS |
|
|
Style Transfer (HP)
|
100% |
714
0.92 IPS |
|
|
Style Transfer (Q)
|
96% |
502
0.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
525
19.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
157
5.81 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
81
2.97 IPS |
|
|
Text Classification (SP)
|
100% |
136
182.1 IPS |
|
|
Text Classification (HP)
|
29% |
6
106.5 IPS |
|
|
Text Classification (Q)
|
29% |
6
110.2 IPS |
|
|
Machine Translation (SP)
|
100% |
110
1.89 IPS |
|
|
Machine Translation (HP)
|
0% |
0
0.37 IPS |
|
|
Machine Translation (Q)
|
0% |
0
0.39 IPS |
