iMac (24-inch, 2024)
Geekbench AI Score
4682
Single Precision Score
36174
Half Precision Score
51347
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 02 2025 09:26 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1999
371.8 IPS |
|
|
Image Classification (HP)
|
100% |
17266
3.21 KIPS |
|
|
Image Classification (Q)
|
97% |
24727
4.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2052
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
21210
343.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30250
490.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9890
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
123325
143.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
232570
272.6 IPS |
|
|
Object Detection (SP)
|
100% |
2274
180.4 IPS |
|
|
Object Detection (HP)
|
100% |
18099
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
26189
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
3898
46.3 IPS |
|
|
Face Detection (HP)
|
100% |
42949
510.3 IPS |
|
|
Face Detection (Q)
|
100% |
60960
724.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8279
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
97924
754.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
167534
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25137
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
234380
301.3 IPS |
|
|
Style Transfer (Q)
|
96% |
297499
383.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5865
216.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49987
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83706
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2927
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5822
7.77 KIPS |
|
|
Text Classification (Q)
|
93% |
6086
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3947
68.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16363
281.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18068
312.2 IPS |
