iMac (24-inch, 2024)
Geekbench AI Score
4662
Single Precision Score
7695
Half Precision Score
6206
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | florian1977 |
| Upload Date | February 21 2025 05:15 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2017
375.0 IPS |
|
|
Image Classification (HP)
|
100% |
3279
609.8 IPS |
|
|
Image Classification (Q)
|
96% |
2311
431.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2049
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3152
51.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3612
58.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9959
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18870
22.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
16414
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2235
177.3 IPS |
|
|
Object Detection (HP)
|
97% |
3728
296.8 IPS |
|
|
Object Detection (Q)
|
94% |
2662
212.2 IPS |
|
|
Face Detection (SP)
|
100% |
3850
45.7 IPS |
|
|
Face Detection (HP)
|
100% |
7259
86.3 IPS |
|
|
Face Detection (Q)
|
100% |
4303
51.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8227
63.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14614
113.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9909
77.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25254
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38080
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31534
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5770
213.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6770
250.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4790
176.9 IPS |
|
|
Text Classification (SP)
|
100% |
2913
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5364
7.16 KIPS |
|
|
Text Classification (Q)
|
93% |
5253
7.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3924
67.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6825
117.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6870
118.7 IPS |
