iMac (24-inch, 2024)
Geekbench AI Score
4762
Single Precision Score
37100
Half Precision Score
52422
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | krishnapoojary |
| Upload Date | May 07 2025 04:12 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2040
379.4 IPS |
|
|
Image Classification (HP)
|
100% |
17710
3.29 KIPS |
|
|
Image Classification (Q)
|
97% |
26720
4.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2107
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
21989
356.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30063
487.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9924
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122747
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
231480
271.3 IPS |
|
|
Object Detection (SP)
|
100% |
2418
191.8 IPS |
|
|
Object Detection (HP)
|
100% |
19066
1.51 KIPS |
|
|
Object Detection (Q)
|
91% |
26171
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
4103
48.8 IPS |
|
|
Face Detection (HP)
|
100% |
43993
522.7 IPS |
|
|
Face Detection (Q)
|
100% |
63177
750.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8570
66.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
99850
769.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
166954
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
21180
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
234690
301.7 IPS |
|
|
Style Transfer (Q)
|
96% |
295969
381.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6074
224.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50586
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84495
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
2941
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
6299
8.41 KIPS |
|
|
Text Classification (Q)
|
93% |
6601
8.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
4378
75.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16502
284.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18497
319.6 IPS |
