iMac (24-inch, 2024)
Geekbench AI Score
4230
Single Precision Score
7093
Half Precision Score
5778
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 24 2024 10:16 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| 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 | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1867
347.2 IPS |
|
|
Image Classification (HP)
|
100% |
3200
595.1 IPS |
|
|
Image Classification (Q)
|
96% |
2269
423.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1830
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2904
47.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3365
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9458
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18395
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15929
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2141
169.8 IPS |
|
|
Object Detection (HP)
|
97% |
3619
288.1 IPS |
|
|
Object Detection (Q)
|
94% |
2612
208.2 IPS |
|
|
Face Detection (SP)
|
100% |
3257
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
6185
73.5 IPS |
|
|
Face Detection (Q)
|
100% |
3743
44.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7272
56.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13526
104.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9439
73.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22099
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35518
45.7 IPS |
|
|
Style Transfer (Q)
|
96% |
29273
37.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5305
195.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6272
231.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4564
168.5 IPS |
|
|
Text Classification (SP)
|
100% |
2968
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5186
6.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5092
6.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3219
55.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5391
93.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5434
93.9 IPS |
