iMac (24-inch, 2023)
Geekbench AI Score
4096
Single Precision Score
30519
Half Precision Score
34227
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 13 2024 04:45 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5079e) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1562
290.4 IPS |
|
|
Image Classification (HP)
|
100% |
17114
3.18 KIPS |
|
|
Image Classification (Q)
|
97% |
19639
3.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1887
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
20739
336.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
25442
412.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8485
9.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
122319
142.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
121033
141.9 IPS |
|
|
Object Detection (SP)
|
100% |
1813
143.8 IPS |
|
|
Object Detection (HP)
|
100% |
18070
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
20373
1.63 KIPS |
|
|
Face Detection (SP)
|
100% |
3527
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
38665
459.4 IPS |
|
|
Face Detection (Q)
|
100% |
50238
596.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7114
54.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
98214
756.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
122775
959.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22246
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
228020
293.1 IPS |
|
|
Style Transfer (Q)
|
96% |
222718
287.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5266
194.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47246
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56095
2.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2845
3.80 KIPS |
|
|
Text Classification (HP)
|
100% |
5010
6.69 KIPS |
|
|
Text Classification (Q)
|
93% |
4982
6.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3514
60.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4360
75.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4666
80.6 IPS |
