MacPro7,1
Geekbench ML Score
7840
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| Upload Date | January 05 2025 01:27 AM |
| 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 | 3600 MT/s |
| Type | DDR4 |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6172
1.15 KIPS |
|
|
Image Classification (F16)
|
100% |
6176
1.16 KIPS |
|
|
Image Classification (I8)
|
99% |
5990
1.12 KIPS |
|
|
Image Segmentation (F32)
|
100% |
657
11.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
611
10.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
614
10.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
74703
90.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
71749
86.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
70606
85.5 IPS |
|
|
Object Detection (F32)
|
100% |
4400
328.5 IPS |
|
|
Object Detection (F16)
|
100% |
4234
316.1 IPS |
|
|
Object Detection (I8)
|
97% |
4462
333.1 IPS |
|
|
Face Detection (F32)
|
100% |
18097
215.2 IPS |
|
|
Face Detection (F16)
|
98% |
17802
211.7 IPS |
|
|
Face Detection (I8)
|
97% |
18900
224.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
31212
242.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
30248
234.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
27719
215.0 IPS |
|
|
Style Transfer (F32)
|
100% |
124529
163.8 IPS |
|
|
Style Transfer (F16)
|
100% |
120414
158.4 IPS |
|
|
Style Transfer (I8)
|
100% |
119310
156.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11994
428.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18129
647.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
17140
612.1 IPS |
|
|
Text Classification (F32)
|
100% |
624
896.9 IPS |
|
|
Text Classification (F16)
|
100% |
635
912.1 IPS |
|
|
Text Classification (I8)
|
96% |
524
752.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1208
22.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1195
22.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1198
22.0 IPS |
