iMac (24-inch, 2023)
Geekbench AI Score
2485
Single Precision Score
24428
Half Precision Score
27502
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | techidiot |
| Upload Date | August 26 2025 07:05 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| Model | iMac (24-inch, 2023) |
| Model ID | Mac15,4 |
| Motherboard | Mac15,4 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1114
207.2 IPS |
|
|
Image Classification (HP)
|
100% |
17075
3.18 KIPS |
|
|
Image Classification (Q)
|
97% |
20458
3.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1407
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
20087
325.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24857
403.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5038
5.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
69723
81.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
62610
73.4 IPS |
|
|
Object Detection (SP)
|
100% |
633
50.2 IPS |
|
|
Object Detection (HP)
|
100% |
11234
891.1 IPS |
|
|
Object Detection (Q)
|
91% |
11548
922.8 IPS |
|
|
Face Detection (SP)
|
100% |
1494
17.8 IPS |
|
|
Face Detection (HP)
|
100% |
19300
229.3 IPS |
|
|
Face Detection (Q)
|
100% |
26707
317.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3772
29.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
78110
601.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
107882
843.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14304
18.4 IPS |
|
|
Style Transfer (HP)
|
100% |
201854
259.5 IPS |
|
|
Style Transfer (Q)
|
96% |
203826
263.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3431
126.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42957
1.59 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52409
1.94 KIPS |
|
|
Text Classification (SP)
|
100% |
2880
3.84 KIPS |
|
|
Text Classification (HP)
|
100% |
5406
7.22 KIPS |
|
|
Text Classification (Q)
|
93% |
5220
7.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2260
38.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3986
68.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4191
72.4 IPS |
