iMac18,3
Geekbench ML Score
4011
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| Upload Date | July 18 2024 01:16 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2884
539.6 IPS |
|
|
Image Classification (F16)
|
100% |
3032
567.4 IPS |
|
|
Image Classification (I8)
|
99% |
2875
538.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
308
5.14 IPS |
|
|
Image Segmentation (F16)
|
100% |
306
5.12 IPS |
|
|
Image Segmentation (I8)
|
100% |
306
5.11 IPS |
|
|
Pose Estimation (F32)
|
100% |
39167
47.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
36523
44.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
36913
44.7 IPS |
|
|
Object Detection (F32)
|
100% |
1900
141.8 IPS |
|
|
Object Detection (F16)
|
100% |
1965
146.7 IPS |
|
|
Object Detection (I8)
|
97% |
2009
150.0 IPS |
|
|
Face Detection (F32)
|
100% |
7790
92.6 IPS |
|
|
Face Detection (F16)
|
97% |
10712
127.4 IPS |
|
|
Face Detection (I8)
|
96% |
10457
124.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
18407
142.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
21881
169.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
21515
166.8 IPS |
|
|
Style Transfer (F32)
|
100% |
64062
84.3 IPS |
|
|
Style Transfer (F16)
|
100% |
61737
81.2 IPS |
|
|
Style Transfer (I8)
|
100% |
62876
82.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5280
188.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10269
366.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
10396
371.3 IPS |
|
|
Text Classification (F32)
|
100% |
325
466.8 IPS |
|
|
Text Classification (F16)
|
36% |
324
466.0 IPS |
|
|
Text Classification (I8)
|
36% |
298
428.7 IPS |
|
|
Machine Translation (F32)
|
100% |
577
10.6 IPS |
|
|
Machine Translation (F16)
|
0% |
385
7.09 IPS |
|
|
Machine Translation (I8)
|
99% |
591
10.9 IPS |
