MacPro7,1
Geekbench AI Score
1545
Single Precision Score
1169
Half Precision Score
926
Quantized Score
Geekbench AI 1.0.0 for macOS AVX2
Result Information
| User | WTT |
| Upload Date | August 20 2024 04:34 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i5-13600K |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| Model | MacPro7,1 |
| Model ID | MacPro7,1 |
| Motherboard | ASRock Mac-27AD2F918AE68F61 MacPro7,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600K |
| Topology | 1 Processor, 6 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Transfer Rate | 3800 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
880
163.6 IPS |
|
|
Image Classification (HP)
|
100% |
570
105.9 IPS |
|
|
Image Classification (Q)
|
99% |
564
105.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
892
14.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
495
8.02 IPS |
|
|
Image Segmentation (Q)
|
100% |
494
8.01 IPS |
|
|
Pose Estimation (SP)
|
100% |
5109
5.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
2984
3.48 IPS |
|
|
Pose Estimation (Q)
|
95% |
2274
2.67 IPS |
|
|
Object Detection (SP)
|
100% |
862
68.4 IPS |
|
|
Object Detection (HP)
|
100% |
640
50.7 IPS |
|
|
Object Detection (Q)
|
92% |
346
27.6 IPS |
|
|
Face Detection (SP)
|
100% |
1557
18.5 IPS |
|
|
Face Detection (HP)
|
100% |
1209
14.4 IPS |
|
|
Face Detection (Q)
|
100% |
513
6.10 IPS |
|
|
Depth Estimation (SP)
|
100% |
2175
16.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1581
12.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
1528
11.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7032
9.04 IPS |
|
|
Style Transfer (HP)
|
100% |
6795
8.74 IPS |
|
|
Style Transfer (Q)
|
100% |
6770
8.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2420
89.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1036
38.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
605
22.4 IPS |
|
|
Text Classification (SP)
|
100% |
647
863.0 IPS |
|
|
Text Classification (HP)
|
100% |
628
838.3 IPS |
|
|
Text Classification (Q)
|
93% |
629
843.8 IPS |
|
|
Machine Translation (SP)
|
100% |
603
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1051
18.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1052
18.2 IPS |
