iMac (24-inch, 2024)
Geekbench AI Score
8112
Single Precision Score
9713
Half Precision Score
8696
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | armadillu |
| Upload Date | March 07 2025 12:03 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| Model | iMac (24-inch, 2024) |
| Model ID | Mac16,3 |
| Motherboard | Mac16,3 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4538
843.9 IPS |
|
|
Image Classification (HP)
|
100% |
4944
919.4 IPS |
|
|
Image Classification (Q)
|
97% |
4212
786.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4797
77.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6784
110.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7200
116.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
27998
32.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
30044
35.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
28695
33.6 IPS |
|
|
Object Detection (SP)
|
100% |
4752
376.9 IPS |
|
|
Object Detection (HP)
|
100% |
5292
419.7 IPS |
|
|
Object Detection (Q)
|
91% |
4454
355.9 IPS |
|
|
Face Detection (SP)
|
100% |
12740
151.4 IPS |
|
|
Face Detection (HP)
|
100% |
15466
183.8 IPS |
|
|
Face Detection (Q)
|
100% |
11964
142.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
20522
158.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
22596
174.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
19463
152.1 IPS |
|
|
Style Transfer (SP)
|
100% |
54988
70.7 IPS |
|
|
Style Transfer (HP)
|
100% |
67426
86.7 IPS |
|
|
Style Transfer (Q)
|
96% |
63062
81.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11802
435.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12866
475.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10313
380.8 IPS |
|
|
Text Classification (SP)
|
100% |
2976
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5562
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5455
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
844
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
832
14.3 IPS |
|
|
Machine Translation (Q)
|
98% |
773
13.4 IPS |
