iMac (27-inch Retina Early 2019)
Geekbench ML Score
2150
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| Upload Date | October 23 2024 01:42 AM |
| Views | 2 |
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 | 32.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2106
394.1 IPS |
|
|
Image Classification (F16)
|
100% |
2151
402.5 IPS |
|
|
Image Classification (I8)
|
99% |
1283
240.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
379
6.33 IPS |
|
|
Image Segmentation (F16)
|
100% |
363
6.05 IPS |
|
|
Image Segmentation (I8)
|
100% |
366
6.11 IPS |
|
|
Pose Estimation (F32)
|
100% |
11316
13.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
11365
13.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
11292
13.7 IPS |
|
|
Object Detection (F32)
|
100% |
1329
99.2 IPS |
|
|
Object Detection (F16)
|
100% |
1141
85.1 IPS |
|
|
Object Detection (I8)
|
97% |
1338
99.9 IPS |
|
|
Face Detection (F32)
|
100% |
6399
76.1 IPS |
|
|
Face Detection (F16)
|
98% |
6605
78.5 IPS |
|
|
Face Detection (I8)
|
97% |
6657
79.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
7599
58.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
6967
54.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
6724
52.1 IPS |
|
|
Style Transfer (F32)
|
100% |
22203
29.2 IPS |
|
|
Style Transfer (F16)
|
100% |
21239
27.9 IPS |
|
|
Style Transfer (I8)
|
100% |
20769
27.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3859
137.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3269
116.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3074
109.8 IPS |
|
|
Text Classification (F32)
|
100% |
234
336.1 IPS |
|
|
Text Classification (F16)
|
100% |
275
394.6 IPS |
|
|
Text Classification (I8)
|
96% |
231
332.1 IPS |
|
|
Machine Translation (F32)
|
100% |
280
5.15 IPS |
|
|
Machine Translation (F16)
|
100% |
251
4.62 IPS |
|
|
Machine Translation (I8)
|
99% |
278
5.12 IPS |
