Mac16,12
Geekbench AI Score
4764
Single Precision Score
7772
Half Precision Score
6250
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | May 07 2025 02:16 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| Model | Mac16,12 |
| Model ID | Mac16,12 |
| Motherboard | Mac16,12 |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2058
382.7 IPS |
|
|
Image Classification (HP)
|
100% |
3344
621.9 IPS |
|
|
Image Classification (Q)
|
96% |
2278
425.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2151
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3185
51.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3565
57.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9987
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19336
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16510
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2399
190.3 IPS |
|
|
Object Detection (HP)
|
97% |
3728
296.8 IPS |
|
|
Object Detection (Q)
|
94% |
2662
212.1 IPS |
|
|
Face Detection (SP)
|
100% |
4097
48.7 IPS |
|
|
Face Detection (HP)
|
100% |
7112
84.5 IPS |
|
|
Face Detection (Q)
|
100% |
4272
50.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8509
65.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14467
111.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10101
78.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21000
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37702
48.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31496
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5932
219.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7243
267.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5042
186.2 IPS |
|
|
Text Classification (SP)
|
100% |
3005
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5385
7.19 KIPS |
|
|
Text Classification (Q)
|
93% |
5375
7.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
4353
75.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6929
119.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6927
119.7 IPS |
