MacPro7,1
Geekbench ML Score
8951
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| Upload Date | August 17 2024 06:15 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 13.6.7 (Build 22G720) |
| Model | MacPro7,1 |
| Model ID | MacPro7,1 |
| Motherboard | Acidanthera Mac-27AD2F918AE68F61 MacPro7,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.18 GHz |
| Cluster 1 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 48.0 KB x 12 |
| L2 Cache | 1.25 MB x 3 |
| L3 Cache | 30.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Type | RAM |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5812
1.09 KIPS |
|
|
Image Classification (F16)
|
100% |
5776
1.08 KIPS |
|
|
Image Classification (I8)
|
99% |
5692
1.07 KIPS |
|
|
Image Segmentation (F32)
|
100% |
900
15.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
889
14.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
890
14.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
75915
91.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
72480
87.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
72515
87.8 IPS |
|
|
Object Detection (F32)
|
100% |
4409
329.2 IPS |
|
|
Object Detection (F16)
|
100% |
4676
349.1 IPS |
|
|
Object Detection (I8)
|
97% |
4705
351.2 IPS |
|
|
Face Detection (F32)
|
100% |
21088
250.7 IPS |
|
|
Face Detection (F16)
|
97% |
24545
291.8 IPS |
|
|
Face Detection (I8)
|
96% |
21027
250.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
33065
256.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
32017
248.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
32145
249.3 IPS |
|
|
Style Transfer (F32)
|
100% |
127800
168.1 IPS |
|
|
Style Transfer (F16)
|
100% |
123676
162.7 IPS |
|
|
Style Transfer (I8)
|
100% |
122737
161.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
14071
502.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18551
662.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18206
650.2 IPS |
|
|
Text Classification (F32)
|
100% |
861
1.24 KIPS |
|
|
Text Classification (F16)
|
36% |
865
1.24 KIPS |
|
|
Text Classification (I8)
|
36% |
854
1.23 KIPS |
|
|
Machine Translation (F32)
|
100% |
1649
30.3 IPS |
|
|
Machine Translation (F16)
|
0% |
1125
20.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1698
31.2 IPS |
