iMac (24-inch, 2023)
Geekbench ML Score
5750
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | chadler |
| Upload Date | August 15 2024 05:29 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4102
767.5 IPS |
|
|
Image Classification (F16)
|
100% |
4356
815.2 IPS |
|
|
Image Classification (I8)
|
99% |
3861
722.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1518
25.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1773
29.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1834
30.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
23962
29.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
25686
31.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
25143
30.4 IPS |
|
|
Object Detection (F32)
|
100% |
3536
264.0 IPS |
|
|
Object Detection (F16)
|
100% |
3736
278.9 IPS |
|
|
Object Detection (I8)
|
97% |
3218
240.3 IPS |
|
|
Face Detection (F32)
|
100% |
10730
127.6 IPS |
|
|
Face Detection (F16)
|
98% |
13550
161.1 IPS |
|
|
Face Detection (I8)
|
97% |
13155
156.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
18394
142.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
20448
158.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
18616
144.4 IPS |
|
|
Style Transfer (F32)
|
100% |
50339
66.2 IPS |
|
|
Style Transfer (F16)
|
100% |
58651
77.1 IPS |
|
|
Style Transfer (I8)
|
100% |
58195
76.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7422
265.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7617
272.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7295
260.5 IPS |
|
|
Text Classification (F32)
|
100% |
598
859.5 IPS |
|
|
Text Classification (F16)
|
100% |
917
1.32 KIPS |
|
|
Text Classification (I8)
|
96% |
698
1.00 KIPS |
|
|
Machine Translation (F32)
|
100% |
1064
19.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1058
19.5 IPS |
|
|
Machine Translation (I8)
|
99% |
676
12.4 IPS |
