MacPro7,1
Geekbench ML Score
7761
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| Upload Date | March 20 2025 01:25 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| Model | MacPro7,1 |
| Model ID | MacPro7,1 |
| Motherboard | Acidanthera Mac-27AD2F918AE68F61 MacPro7,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-11900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 48.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Transfer Rate | 3200 MT/s |
| Type | DDR4 |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6255
1.17 KIPS |
|
|
Image Classification (F16)
|
100% |
6239
1.17 KIPS |
|
|
Image Classification (I8)
|
99% |
6330
1.18 KIPS |
|
|
Image Segmentation (F32)
|
100% |
690
11.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
625
10.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
687
11.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
73966
89.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
70202
85.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
71162
86.2 IPS |
|
|
Object Detection (F32)
|
100% |
4421
330.1 IPS |
|
|
Object Detection (F16)
|
100% |
4013
299.6 IPS |
|
|
Object Detection (I8)
|
97% |
4186
312.5 IPS |
|
|
Face Detection (F32)
|
100% |
15276
181.6 IPS |
|
|
Face Detection (F16)
|
98% |
18527
220.3 IPS |
|
|
Face Detection (I8)
|
97% |
17911
213.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
31272
242.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
30038
232.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
27789
215.5 IPS |
|
|
Style Transfer (F32)
|
100% |
123839
162.9 IPS |
|
|
Style Transfer (F16)
|
100% |
116476
153.2 IPS |
|
|
Style Transfer (I8)
|
100% |
115623
152.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11484
410.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17951
641.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
16777
599.2 IPS |
|
|
Text Classification (F32)
|
100% |
572
821.9 IPS |
|
|
Text Classification (F16)
|
100% |
632
908.6 IPS |
|
|
Text Classification (I8)
|
96% |
548
788.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1178
21.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1163
21.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1200
22.1 IPS |
