iMac (24-inch, 2024)
Geekbench AI Score
8263
Single Precision Score
9525
Half Precision Score
8458
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 02 2025 09:24 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4330
805.2 IPS |
|
|
Image Classification (HP)
|
100% |
4770
887.1 IPS |
|
|
Image Classification (Q)
|
97% |
4111
767.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4807
77.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6679
108.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7121
115.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
27850
32.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
29891
34.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
28406
33.3 IPS |
|
|
Object Detection (SP)
|
100% |
4677
371.0 IPS |
|
|
Object Detection (HP)
|
100% |
5232
415.0 IPS |
|
|
Object Detection (Q)
|
91% |
4463
356.6 IPS |
|
|
Face Detection (SP)
|
100% |
12047
143.1 IPS |
|
|
Face Detection (HP)
|
100% |
15526
184.5 IPS |
|
|
Face Detection (Q)
|
100% |
11313
134.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
20127
155.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
22209
171.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
19150
149.7 IPS |
|
|
Style Transfer (SP)
|
100% |
55469
71.3 IPS |
|
|
Style Transfer (HP)
|
100% |
66266
85.2 IPS |
|
|
Style Transfer (Q)
|
96% |
62381
80.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11553
426.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12648
467.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10290
380.0 IPS |
|
|
Text Classification (SP)
|
100% |
2925
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5435
7.25 KIPS |
|
|
Text Classification (Q)
|
93% |
5437
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1205
20.8 IPS |
|
|
Machine Translation (HP)
|
100% |
786
13.5 IPS |
|
|
Machine Translation (Q)
|
98% |
668
11.6 IPS |
