iMac (24-inch, 2024)
Geekbench AI Score
4793
Single Precision Score
37101
Half Precision Score
51774
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | May 13 2025 02:23 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2078
386.4 IPS |
|
|
Image Classification (HP)
|
100% |
17299
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
24801
4.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2102
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
21987
356.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30253
490.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9876
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
122682
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
230759
270.5 IPS |
|
|
Object Detection (SP)
|
100% |
2448
194.1 IPS |
|
|
Object Detection (HP)
|
100% |
18958
1.50 KIPS |
|
|
Object Detection (Q)
|
91% |
26353
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4210
50.0 IPS |
|
|
Face Detection (HP)
|
100% |
43198
513.3 IPS |
|
|
Face Detection (Q)
|
100% |
61059
725.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8703
67.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
100761
776.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
169021
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
21679
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
233174
299.7 IPS |
|
|
Style Transfer (Q)
|
96% |
297157
383.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6038
223.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49539
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
88697
3.28 KIPS |
|
|
Text Classification (SP)
|
100% |
2908
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
6758
9.02 KIPS |
|
|
Text Classification (Q)
|
93% |
6125
8.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
4345
74.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16440
283.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18206
314.6 IPS |
