MacPro7,1
Geekbench ML Score
10264
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| Upload Date | April 27 2024 08:26 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| Model | MacPro7,1 |
| Model ID | MacPro7,1 |
| Motherboard | ASUSTeK COMPUTER INC. Mac-27AD2F918AE68F61 MacPro7,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700K |
| Topology | 1 Processor, 8 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 14 |
| L1 Data Cache | 48.0 KB x 14 |
| L2 Cache | 2.00 MB x 3 |
| L3 Cache | 33.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Transfer Rate | 5800 MT/s |
| Type | RAM |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
7258
1.36 KIPS |
|
|
Image Classification (F16)
|
100% |
7606
1.42 KIPS |
|
|
Image Classification (I8)
|
99% |
7197
1.35 KIPS |
|
|
Image Segmentation (F32)
|
100% |
982
16.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
967
16.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
954
15.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
92396
111.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
81394
98.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
82735
100.2 IPS |
|
|
Object Detection (F32)
|
100% |
5304
396.0 IPS |
|
|
Object Detection (F16)
|
100% |
5110
381.5 IPS |
|
|
Object Detection (I8)
|
97% |
5204
388.5 IPS |
|
|
Face Detection (F32)
|
100% |
26862
319.4 IPS |
|
|
Face Detection (F16)
|
98% |
26534
315.5 IPS |
|
|
Face Detection (I8)
|
97% |
28121
334.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
36669
284.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
34504
267.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
32183
249.6 IPS |
|
|
Style Transfer (F32)
|
100% |
154512
203.2 IPS |
|
|
Style Transfer (F16)
|
100% |
145080
190.8 IPS |
|
|
Style Transfer (I8)
|
100% |
136205
179.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
16415
586.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
21738
776.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
20557
734.2 IPS |
|
|
Text Classification (F32)
|
100% |
878
1.26 KIPS |
|
|
Text Classification (F16)
|
100% |
862
1.24 KIPS |
|
|
Text Classification (I8)
|
96% |
743
1.07 KIPS |
|
|
Machine Translation (F32)
|
100% |
1876
34.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1908
35.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1884
34.7 IPS |
