MacPro7,1
Geekbench AI Score
425
Single Precision Score
101
Half Precision Score
54
Quantized Score
Geekbench AI 1.2.0 for macOS x86 (64-bit)
Result Information
| User | Mulva |
| Upload Date | February 01 2025 07:29 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Xeon E5-1620 v2 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| Model | MacPro7,1 |
| Model ID | MacPro7,1 |
| Motherboard | Acidanthera Mac-27AD2F918AE68F61 MacPro7,1 |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-1620 v2 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Transfer Rate | 1866 MT/s |
| Type | DDR3 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
207
38.6 IPS |
|
|
Image Classification (HP)
|
100% |
161
29.9 IPS |
|
|
Image Classification (Q)
|
96% |
48
8.92 IPS |
|
|
Image Segmentation (SP)
|
100% |
249
4.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
120
1.95 IPS |
|
|
Image Segmentation (Q)
|
99% |
66
1.08 IPS |
|
|
Pose Estimation (SP)
|
100% |
1022
1.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
247
0.29 IPS |
|
|
Pose Estimation (Q)
|
96% |
206
0.24 IPS |
|
|
Object Detection (SP)
|
100% |
215
17.0 IPS |
|
|
Object Detection (HP)
|
100% |
173
13.7 IPS |
|
|
Object Detection (Q)
|
92% |
58
4.64 IPS |
|
|
Face Detection (SP)
|
100% |
557
6.62 IPS |
|
|
Face Detection (HP)
|
100% |
380
4.52 IPS |
|
|
Face Detection (Q)
|
100% |
81
0.96 IPS |
|
|
Depth Estimation (SP)
|
100% |
567
4.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
298
2.29 IPS |
|
|
Depth Estimation (Q)
|
85% |
162
1.26 IPS |
|
|
Style Transfer (SP)
|
100% |
1411
1.81 IPS |
|
|
Style Transfer (HP)
|
100% |
745
0.96 IPS |
|
|
Style Transfer (Q)
|
96% |
536
0.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
626
23.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
183
6.76 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
91
3.37 IPS |
|
|
Text Classification (SP)
|
100% |
258
343.9 IPS |
|
|
Text Classification (HP)
|
29% |
9
159.1 IPS |
|
|
Text Classification (Q)
|
29% |
9
158.9 IPS |
|
|
Machine Translation (SP)
|
100% |
238
4.11 IPS |
|
|
Machine Translation (HP)
|
0% |
0
0.46 IPS |
|
|
Machine Translation (Q)
|
0% |
0
0.48 IPS |
