iMac (24-inch, 2023)
Geekbench ML Score
8024
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 29 2024 08:27 AM |
| Views | 10 |
| Notes | iMac (24-inch, 2023, Two ports)/M3 8Core CPU/8 Core GPU |
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 | 3.78 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 | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3725
697.0 IPS |
|
|
Image Classification (F16)
|
100% |
7400
1.38 KIPS |
|
|
Image Classification (I8)
|
99% |
8032
1.50 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1649
27.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2041
34.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
2002
33.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
19508
23.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
97117
117.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
98353
119.1 IPS |
|
|
Object Detection (F32)
|
100% |
3246
242.3 IPS |
|
|
Object Detection (F16)
|
100% |
5133
383.2 IPS |
|
|
Object Detection (I8)
|
97% |
2926
218.5 IPS |
|
|
Face Detection (F32)
|
100% |
10084
119.9 IPS |
|
|
Face Detection (F16)
|
97% |
12685
150.8 IPS |
|
|
Face Detection (I8)
|
96% |
12725
151.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
16503
128.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
39998
310.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
43432
336.8 IPS |
|
|
Style Transfer (F32)
|
100% |
43420
57.1 IPS |
|
|
Style Transfer (F16)
|
100% |
148711
195.6 IPS |
|
|
Style Transfer (I8)
|
100% |
147585
194.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8924
318.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
21322
761.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
21028
751.0 IPS |
|
|
Text Classification (F32)
|
100% |
547
785.6 IPS |
|
|
Text Classification (F16)
|
100% |
700
1.01 KIPS |
|
|
Text Classification (I8)
|
96% |
688
989.0 IPS |
|
|
Machine Translation (F32)
|
100% |
999
18.4 IPS |
|
|
Machine Translation (F16)
|
100% |
3334
61.3 IPS |
|
|
Machine Translation (I8)
|
99% |
642
11.8 IPS |
