iMac (24-inch, 2023)
Geekbench ML Score
8501
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 29 2024 08:34 AM |
| Views | 5 |
| Notes | iMac (24-inch, 2023, Four ports)/M3 8Core CPU/10 Core GPU |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| Model | iMac (24-inch, 2023) |
| Model ID | Mac15,5 |
| Motherboard | Mac15,5 |
| 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 | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4145
775.6 IPS |
|
|
Image Classification (F16)
|
100% |
7386
1.38 KIPS |
|
|
Image Classification (I8)
|
99% |
8044
1.51 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1712
28.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2111
35.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
2087
34.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
24129
29.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
98103
118.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
97984
118.7 IPS |
|
|
Object Detection (F32)
|
100% |
3257
243.1 IPS |
|
|
Object Detection (F16)
|
100% |
5093
380.3 IPS |
|
|
Object Detection (I8)
|
97% |
3250
242.7 IPS |
|
|
Face Detection (F32)
|
100% |
10553
125.5 IPS |
|
|
Face Detection (F16)
|
97% |
12766
151.8 IPS |
|
|
Face Detection (I8)
|
96% |
12793
152.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
18339
142.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
40246
312.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
44679
346.5 IPS |
|
|
Style Transfer (F32)
|
100% |
49209
64.7 IPS |
|
|
Style Transfer (F16)
|
100% |
148282
195.1 IPS |
|
|
Style Transfer (I8)
|
100% |
148160
194.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10574
377.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
21191
756.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
20758
741.3 IPS |
|
|
Text Classification (F32)
|
100% |
998
1.43 KIPS |
|
|
Text Classification (F16)
|
100% |
715
1.03 KIPS |
|
|
Text Classification (I8)
|
96% |
694
997.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1023
18.8 IPS |
|
|
Machine Translation (F16)
|
100% |
3356
61.8 IPS |
|
|
Machine Translation (I8)
|
99% |
680
12.5 IPS |
