iMac18,3
Geekbench ML Score
377
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| Upload Date | July 18 2024 12:36 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 13.6.7 (Build 22G720) |
| Model | iMac18,3 |
| Model ID | iMac18,3 |
| Motherboard | Acidanthera Mac-BE088AF8C5EB4FA2 iMac18,3 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4770 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 4 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 | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Transfer Rate | 1600 MT/s |
| Type | DDR3 |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
247
46.1 IPS |
|
|
Image Classification (F16)
|
100% |
196
36.7 IPS |
|
|
Image Classification (I8)
|
99% |
185
34.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
167
2.79 IPS |
|
|
Image Segmentation (F16)
|
100% |
164
2.73 IPS |
|
|
Image Segmentation (I8)
|
100% |
163
2.73 IPS |
|
|
Pose Estimation (F32)
|
100% |
1156
1.40 IPS |
|
|
Pose Estimation (F16)
|
100% |
1171
1.42 IPS |
|
|
Pose Estimation (I8)
|
100% |
1227
1.49 IPS |
|
|
Object Detection (F32)
|
100% |
225
16.8 IPS |
|
|
Object Detection (F16)
|
100% |
158
11.8 IPS |
|
|
Object Detection (I8)
|
97% |
242
18.0 IPS |
|
|
Face Detection (F32)
|
100% |
443
5.27 IPS |
|
|
Face Detection (F16)
|
100% |
435
5.17 IPS |
|
|
Face Detection (I8)
|
99% |
436
5.19 IPS |
|
|
Depth Estimation (F32)
|
100% |
556
4.31 IPS |
|
|
Depth Estimation (F16)
|
100% |
461
3.57 IPS |
|
|
Depth Estimation (I8)
|
99% |
545
4.23 IPS |
|
|
Style Transfer (F32)
|
100% |
2143
2.82 IPS |
|
|
Style Transfer (F16)
|
100% |
1883
2.48 IPS |
|
|
Style Transfer (I8)
|
100% |
1878
2.47 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
651
23.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
609
21.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
626
22.4 IPS |
|
|
Text Classification (F32)
|
100% |
122
176.0 IPS |
|
|
Text Classification (F16)
|
100% |
65
93.6 IPS |
|
|
Text Classification (I8)
|
96% |
77
111.0 IPS |
|
|
Machine Translation (F32)
|
100% |
340
6.26 IPS |
|
|
Machine Translation (F16)
|
100% |
238
4.37 IPS |
|
|
Machine Translation (I8)
|
99% |
333
6.14 IPS |
