iMac (24-inch, 2024)
Geekbench AI Score
4770
Single Precision Score
7783
Half Precision Score
6259
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | krishnapoojary |
| Upload Date | May 07 2025 04:08 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
2054
382.1 IPS |
|
|
Image Classification (HP)
|
100% |
3312
616.0 IPS |
|
|
Image Classification (Q)
|
96% |
2304
430.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2093
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3121
50.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3555
57.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9912
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19356
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16530
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2416
191.7 IPS |
|
|
Object Detection (HP)
|
97% |
3760
299.3 IPS |
|
|
Object Detection (Q)
|
94% |
2669
212.7 IPS |
|
|
Face Detection (SP)
|
100% |
4132
49.1 IPS |
|
|
Face Detection (HP)
|
100% |
7281
86.5 IPS |
|
|
Face Detection (Q)
|
100% |
4279
50.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8567
66.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14516
112.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10102
78.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21383
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38262
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31400
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6080
224.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7171
264.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5030
185.7 IPS |
|
|
Text Classification (SP)
|
100% |
2938
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5284
7.05 KIPS |
|
|
Text Classification (Q)
|
93% |
5309
7.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
4387
75.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7079
122.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7047
121.8 IPS |
