iMac18,3
Geekbench ML Score
4053
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| Upload Date | July 18 2024 12:41 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% |
2986
558.8 IPS |
|
|
Image Classification (F16)
|
100% |
2928
547.9 IPS |
|
|
Image Classification (I8)
|
99% |
3097
579.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
310
5.18 IPS |
|
|
Image Segmentation (F16)
|
100% |
315
5.27 IPS |
|
|
Image Segmentation (I8)
|
100% |
310
5.18 IPS |
|
|
Pose Estimation (F32)
|
100% |
39951
48.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
36534
44.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
36520
44.2 IPS |
|
|
Object Detection (F32)
|
100% |
2019
150.8 IPS |
|
|
Object Detection (F16)
|
100% |
1885
140.7 IPS |
|
|
Object Detection (I8)
|
97% |
1967
146.9 IPS |
|
|
Face Detection (F32)
|
100% |
8598
102.2 IPS |
|
|
Face Detection (F16)
|
97% |
11085
131.8 IPS |
|
|
Face Detection (I8)
|
96% |
10925
129.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
18868
146.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
21645
167.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
22090
171.3 IPS |
|
|
Style Transfer (F32)
|
100% |
63096
83.0 IPS |
|
|
Style Transfer (F16)
|
100% |
61914
81.4 IPS |
|
|
Style Transfer (I8)
|
100% |
62341
82.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5178
184.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9735
347.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
10254
366.2 IPS |
|
|
Text Classification (F32)
|
100% |
319
458.5 IPS |
|
|
Text Classification (F16)
|
36% |
319
457.8 IPS |
|
|
Text Classification (I8)
|
36% |
317
455.6 IPS |
|
|
Machine Translation (F32)
|
100% |
588
10.8 IPS |
|
|
Machine Translation (F16)
|
0% |
393
7.24 IPS |
|
|
Machine Translation (I8)
|
99% |
595
11.0 IPS |
