iMac (24-inch, 2023)
Geekbench ML Score
8424
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | CWade3051 |
| Upload Date | April 07 2024 10:26 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F5049f) |
| 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4053
758.4 IPS |
|
|
Image Classification (F16)
|
100% |
7286
1.36 KIPS |
|
|
Image Classification (I8)
|
99% |
7969
1.49 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1712
28.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2032
33.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
2091
34.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
23989
29.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
97220
117.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
98910
119.8 IPS |
|
|
Object Detection (F32)
|
100% |
3291
245.7 IPS |
|
|
Object Detection (F16)
|
100% |
4986
372.2 IPS |
|
|
Object Detection (I8)
|
97% |
3179
237.3 IPS |
|
|
Face Detection (F32)
|
100% |
10643
126.6 IPS |
|
|
Face Detection (F16)
|
97% |
12739
151.5 IPS |
|
|
Face Detection (I8)
|
96% |
12740
151.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
17971
139.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
39048
302.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
41948
325.3 IPS |
|
|
Style Transfer (F32)
|
100% |
49785
65.5 IPS |
|
|
Style Transfer (F16)
|
100% |
149167
196.2 IPS |
|
|
Style Transfer (I8)
|
100% |
149669
196.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10549
376.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
20759
741.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
20761
741.4 IPS |
|
|
Text Classification (F32)
|
100% |
1044
1.50 KIPS |
|
|
Text Classification (F16)
|
100% |
727
1.05 KIPS |
|
|
Text Classification (I8)
|
96% |
726
1.04 KIPS |
|
|
Machine Translation (F32)
|
100% |
915
16.8 IPS |
|
|
Machine Translation (F16)
|
100% |
3228
59.4 IPS |
|
|
Machine Translation (I8)
|
99% |
679
12.5 IPS |
