iMac19,1
Geekbench ML Score
826
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| Upload Date | August 15 2024 06:41 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | iMac19,1 |
| Model ID | iMac19,1 |
| Motherboard | Acidanthera Mac-AA95B1DDAB278B95 iMac19,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9700K |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 12 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 32.0 KB x 4 |
| L2 Cache | 256 KB x 4 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Type | RAM |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
521
97.5 IPS |
|
|
Image Classification (F16)
|
100% |
383
71.6 IPS |
|
|
Image Classification (I8)
|
99% |
382
71.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
376
6.28 IPS |
|
|
Image Segmentation (F16)
|
100% |
274
4.57 IPS |
|
|
Image Segmentation (I8)
|
100% |
273
4.56 IPS |
|
|
Pose Estimation (F32)
|
100% |
2957
3.58 IPS |
|
|
Pose Estimation (F16)
|
100% |
2670
3.23 IPS |
|
|
Pose Estimation (I8)
|
100% |
2627
3.18 IPS |
|
|
Object Detection (F32)
|
100% |
529
39.5 IPS |
|
|
Object Detection (F16)
|
100% |
417
31.1 IPS |
|
|
Object Detection (I8)
|
97% |
523
39.0 IPS |
|
|
Face Detection (F32)
|
100% |
1024
12.2 IPS |
|
|
Face Detection (F16)
|
98% |
869
10.3 IPS |
|
|
Face Detection (I8)
|
97% |
852
10.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
1456
11.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
1220
9.46 IPS |
|
|
Depth Estimation (I8)
|
99% |
1220
9.46 IPS |
|
|
Style Transfer (F32)
|
100% |
4102
5.40 IPS |
|
|
Style Transfer (F16)
|
100% |
4727
6.22 IPS |
|
|
Style Transfer (I8)
|
100% |
4656
6.12 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1526
54.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
725
25.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
733
26.2 IPS |
|
|
Text Classification (F32)
|
100% |
503
723.0 IPS |
|
|
Text Classification (F16)
|
100% |
493
708.8 IPS |
|
|
Text Classification (I8)
|
96% |
493
708.5 IPS |
|
|
Machine Translation (F32)
|
100% |
326
5.99 IPS |
|
|
Machine Translation (F16)
|
100% |
412
7.59 IPS |
|
|
Machine Translation (I8)
|
99% |
325
5.99 IPS |
