MacPro7,1
Geekbench AI Score
654
Single Precision Score
85
Half Precision Score
71
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| Upload Date | May 02 2025 07:21 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-4790 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| Model | MacPro7,1 |
| Model ID | MacPro7,1 |
| Motherboard | MSI Mac-27AD2F918AE68F61 MacPro7,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4790 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Transfer Rate | 1600 MT/s |
| Type | DDR3 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
292
54.3 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
302
4.89 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2086
2.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
492
0.57 IPS |
|
|
Pose Estimation (Q)
|
96% |
442
0.52 IPS |
|
|
Object Detection (SP)
|
100% |
296
23.5 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
689
8.19 IPS |
|
|
Face Detection (HP)
|
100% |
528
6.27 IPS |
|
|
Face Detection (Q)
|
100% |
244
2.90 IPS |
|
|
Depth Estimation (SP)
|
100% |
989
7.62 IPS |
|
|
Depth Estimation (HP)
|
99% |
735
5.66 IPS |
|
|
Depth Estimation (Q)
|
85% |
495
3.87 IPS |
|
|
Style Transfer (SP)
|
100% |
2745
3.53 IPS |
|
|
Style Transfer (HP)
|
100% |
1722
2.21 IPS |
|
|
Style Transfer (Q)
|
96% |
1422
1.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1177
43.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
387
14.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
267
9.85 IPS |
|
|
Text Classification (SP)
|
100% |
407
543.8 IPS |
|
|
Text Classification (HP)
|
100% |
400
534.4 IPS |
|
|
Text Classification (Q)
|
93% |
397
532.8 IPS |
|
|
Machine Translation (SP)
|
100% |
294
5.07 IPS |
|
|
Machine Translation (HP)
|
100% |
429
7.38 IPS |
|
|
Machine Translation (Q)
|
98% |
440
7.60 IPS |
