iMac (24-inch, 2024)
Geekbench AI Score
4920
Single Precision Score
8000
Half Precision Score
6388
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | archiarch |
| Upload Date | January 08 2026 02:29 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
2088
388.3 IPS |
|
|
Image Classification (HP)
|
100% |
3392
630.8 IPS |
|
|
Image Classification (Q)
|
96% |
2323
433.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2092
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3175
51.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3509
56.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10051
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19479
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16655
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2411
191.3 IPS |
|
|
Object Detection (HP)
|
97% |
3786
301.4 IPS |
|
|
Object Detection (Q)
|
94% |
2700
215.2 IPS |
|
|
Face Detection (SP)
|
100% |
4243
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
7685
91.3 IPS |
|
|
Face Detection (Q)
|
100% |
4409
52.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8486
65.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14002
108.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9854
76.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24343
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38714
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31779
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6064
223.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7122
263.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5015
185.2 IPS |
|
|
Text Classification (SP)
|
100% |
3269
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5633
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5558
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
4526
78.0 IPS |
|
|
Machine Translation (HP)
|
98% |
8092
139.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8023
138.6 IPS |
