iMac20,1
Geekbench ML Score
7164
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| Upload Date | August 16 2024 11:59 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5320a) |
| Model | iMac20,1 |
| Model ID | iMac20,1 |
| Motherboard | Acidanthera Mac-CFF7D910A743CAAF iMac20,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10900KF |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 10 Cores |
| L1 Instruction Cache | 32.0 KB x 10 |
| L1 Data Cache | 32.0 KB x 10 |
| L2 Cache | 256 KB x 10 |
| L3 Cache | 20.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Transfer Rate | 3800 MT/s |
| Type | DDR4 |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5080
950.6 IPS |
|
|
Image Classification (F16)
|
100% |
5014
938.3 IPS |
|
|
Image Classification (I8)
|
99% |
4752
889.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
561
9.36 IPS |
|
|
Image Segmentation (F16)
|
100% |
589
9.84 IPS |
|
|
Image Segmentation (I8)
|
100% |
602
10.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
80029
96.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
73895
89.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
73964
89.6 IPS |
|
|
Object Detection (F32)
|
100% |
3881
289.7 IPS |
|
|
Object Detection (F16)
|
100% |
3864
288.5 IPS |
|
|
Object Detection (I8)
|
97% |
4092
305.5 IPS |
|
|
Face Detection (F32)
|
100% |
17689
210.3 IPS |
|
|
Face Detection (F16)
|
98% |
21617
257.0 IPS |
|
|
Face Detection (I8)
|
97% |
18868
224.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
31042
240.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
31093
241.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
26617
206.4 IPS |
|
|
Style Transfer (F32)
|
100% |
126011
165.8 IPS |
|
|
Style Transfer (F16)
|
100% |
122487
161.1 IPS |
|
|
Style Transfer (I8)
|
100% |
122510
161.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9751
348.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16151
576.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
15232
544.0 IPS |
|
|
Text Classification (F32)
|
100% |
438
629.3 IPS |
|
|
Text Classification (F16)
|
100% |
437
627.4 IPS |
|
|
Text Classification (I8)
|
96% |
362
520.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1059
19.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1057
19.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1073
19.7 IPS |
