iMac (24-inch, 2023)
Geekbench AI Score
4086
Single Precision Score
31373
Half Precision Score
35003
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Andji |
| Upload Date | April 11 2025 12:32 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| Model | iMac (24-inch, 2023) |
| Model ID | Mac15,5 |
| Motherboard | Mac15,5 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1579
293.7 IPS |
|
|
Image Classification (HP)
|
100% |
17642
3.28 KIPS |
|
|
Image Classification (Q)
|
97% |
20960
3.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1899
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21752
352.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
27173
440.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8772
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
122602
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
120840
141.6 IPS |
|
|
Object Detection (SP)
|
100% |
1763
139.8 IPS |
|
|
Object Detection (HP)
|
100% |
18490
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
20778
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
3412
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
39932
474.5 IPS |
|
|
Face Detection (Q)
|
100% |
46886
557.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7137
55.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
98192
756.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
124467
973.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22207
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
230327
296.1 IPS |
|
|
Style Transfer (Q)
|
96% |
221137
285.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5261
194.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47926
1.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58712
2.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3026
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
5389
7.19 KIPS |
|
|
Text Classification (Q)
|
93% |
5363
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3254
56.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4554
78.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4752
82.1 IPS |
