iMac (24-inch, 2023)
Geekbench ML Score
4179
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 08 2024 07:33 AM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| Model | iMac (24-inch, 2023) |
| Model ID | Mac15,4 |
| Motherboard | Mac15,4 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1626
304.2 IPS |
|
|
Image Classification (F16)
|
100% |
2237
418.6 IPS |
|
|
Image Classification (I8)
|
99% |
2218
415.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1035
17.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1007
16.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1006
16.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
8180
9.91 IPS |
|
|
Pose Estimation (F16)
|
100% |
16270
19.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
16268
19.7 IPS |
|
|
Object Detection (F32)
|
100% |
1723
128.6 IPS |
|
|
Object Detection (F16)
|
100% |
2346
175.1 IPS |
|
|
Object Detection (I8)
|
97% |
1723
128.7 IPS |
|
|
Face Detection (F32)
|
100% |
3108
37.0 IPS |
|
|
Face Detection (F16)
|
97% |
4961
59.0 IPS |
|
|
Face Detection (I8)
|
97% |
4968
59.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
6686
51.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
9775
75.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
9855
76.4 IPS |
|
|
Style Transfer (F32)
|
100% |
20962
27.6 IPS |
|
|
Style Transfer (F16)
|
100% |
30942
40.7 IPS |
|
|
Style Transfer (I8)
|
100% |
30954
40.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5044
180.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6147
219.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6196
221.3 IPS |
|
|
Text Classification (F32)
|
100% |
2666
3.83 KIPS |
|
|
Text Classification (F16)
|
100% |
4387
6.31 KIPS |
|
|
Text Classification (I8)
|
96% |
4382
6.30 KIPS |
|
|
Machine Translation (F32)
|
100% |
1447
26.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1657
30.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1440
26.5 IPS |
