iMac (24-inch, 2024)
Geekbench AI Score
4650
Single Precision Score
7721
Half Precision Score
6187
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Goku_is_Gei |
| Upload Date | January 27 2025 04:39 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A8332) |
| 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 | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1949
362.4 IPS |
|
|
Image Classification (HP)
|
100% |
3317
616.8 IPS |
|
|
Image Classification (Q)
|
96% |
2263
422.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2030
32.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3130
50.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3548
57.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9848
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18980
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16394
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2200
174.5 IPS |
|
|
Object Detection (HP)
|
97% |
3757
299.1 IPS |
|
|
Object Detection (Q)
|
94% |
2659
211.9 IPS |
|
|
Face Detection (SP)
|
100% |
3871
46.0 IPS |
|
|
Face Detection (HP)
|
100% |
7185
85.4 IPS |
|
|
Face Detection (Q)
|
100% |
4238
50.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8229
63.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14543
112.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10072
78.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25061
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38203
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31419
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5858
216.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6845
252.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4854
179.2 IPS |
|
|
Text Classification (SP)
|
100% |
2990
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5373
7.17 KIPS |
|
|
Text Classification (Q)
|
93% |
5287
7.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3951
68.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6928
119.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6832
118.1 IPS |
