iMac (27-inch Retina Early 2019)
Geekbench ML Score
729
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| Upload Date | October 23 2024 01:23 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| Model | iMac (27-inch Retina Early 2019) |
| Model ID | iMac19,1 |
| Motherboard | Apple Inc. Mac-AA95B1DDAB278B95 iMac19,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8500 |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 3 |
| L1 Data Cache | 32.0 KB x 3 |
| L2 Cache | 256 KB x 3 |
| L3 Cache | 9.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
423
79.2 IPS |
|
|
Image Classification (F16)
|
100% |
307
57.5 IPS |
|
|
Image Classification (I8)
|
99% |
306
57.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
286
4.78 IPS |
|
|
Image Segmentation (F16)
|
100% |
211
3.53 IPS |
|
|
Image Segmentation (I8)
|
100% |
212
3.55 IPS |
|
|
Pose Estimation (F32)
|
100% |
2932
3.55 IPS |
|
|
Pose Estimation (F16)
|
100% |
2098
2.54 IPS |
|
|
Pose Estimation (I8)
|
100% |
2045
2.48 IPS |
|
|
Object Detection (F32)
|
100% |
418
31.2 IPS |
|
|
Object Detection (F16)
|
100% |
338
25.2 IPS |
|
|
Object Detection (I8)
|
97% |
403
30.1 IPS |
|
|
Face Detection (F32)
|
100% |
866
10.3 IPS |
|
|
Face Detection (F16)
|
98% |
730
8.68 IPS |
|
|
Face Detection (I8)
|
97% |
731
8.69 IPS |
|
|
Depth Estimation (F32)
|
100% |
1375
10.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
1067
8.27 IPS |
|
|
Depth Estimation (I8)
|
99% |
1067
8.27 IPS |
|
|
Style Transfer (F32)
|
100% |
3991
5.25 IPS |
|
|
Style Transfer (F16)
|
100% |
3645
4.80 IPS |
|
|
Style Transfer (I8)
|
100% |
3632
4.78 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1833
65.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1353
48.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1338
47.8 IPS |
|
|
Text Classification (F32)
|
100% |
409
587.5 IPS |
|
|
Text Classification (F16)
|
100% |
400
575.5 IPS |
|
|
Text Classification (I8)
|
96% |
398
572.1 IPS |
|
|
Machine Translation (F32)
|
100% |
272
5.00 IPS |
|
|
Machine Translation (F16)
|
100% |
349
6.42 IPS |
|
|
Machine Translation (I8)
|
99% |
271
5.00 IPS |
