MacPro7,1
Geekbench ML Score
9101
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| Upload Date | August 17 2024 06:10 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 | 64.0 KB x 12 |
| L1 Data Cache | 32.0 KB x 12 |
| L2 Cache | 2.00 MB x 3 |
| L3 Cache | 30.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Type | RAM |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5763
1.08 KIPS |
|
|
Image Classification (F16)
|
100% |
5811
1.09 KIPS |
|
|
Image Classification (I8)
|
99% |
5747
1.08 KIPS |
|
|
Image Segmentation (F32)
|
100% |
931
15.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
922
15.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
911
15.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
75915
91.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
72972
88.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
73189
88.6 IPS |
|
|
Object Detection (F32)
|
100% |
4624
345.2 IPS |
|
|
Object Detection (F16)
|
100% |
4475
334.1 IPS |
|
|
Object Detection (I8)
|
97% |
4649
347.1 IPS |
|
|
Face Detection (F32)
|
100% |
25165
299.2 IPS |
|
|
Face Detection (F16)
|
97% |
24530
291.7 IPS |
|
|
Face Detection (I8)
|
96% |
25973
308.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
33371
258.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
31827
246.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
31416
243.6 IPS |
|
|
Style Transfer (F32)
|
100% |
127774
168.1 IPS |
|
|
Style Transfer (F16)
|
100% |
121957
160.4 IPS |
|
|
Style Transfer (I8)
|
100% |
122454
161.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
13969
498.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18081
645.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18296
653.4 IPS |
|
|
Text Classification (F32)
|
100% |
887
1.28 KIPS |
|
|
Text Classification (F16)
|
36% |
867
1.25 KIPS |
|
|
Text Classification (I8)
|
36% |
876
1.26 KIPS |
|
|
Machine Translation (F32)
|
100% |
1614
29.7 IPS |
|
|
Machine Translation (F16)
|
0% |
1143
21.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1724
31.7 IPS |
