Mac16,12
Geekbench AI Score
4797
Single Precision Score
36568
Half Precision Score
50931
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Chineezze |
| Upload Date | June 11 2025 12:05 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
2054
382.0 IPS |
|
|
Image Classification (HP)
|
100% |
17223
3.20 KIPS |
|
|
Image Classification (Q)
|
97% |
23601
4.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2124
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
21962
356.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
30295
491.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9969
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122703
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
231224
271.0 IPS |
|
|
Object Detection (SP)
|
100% |
2424
192.3 IPS |
|
|
Object Detection (HP)
|
100% |
18274
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
26224
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4130
49.1 IPS |
|
|
Face Detection (HP)
|
100% |
44116
524.2 IPS |
|
|
Face Detection (Q)
|
100% |
63605
755.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8571
66.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
98892
761.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
167410
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
21571
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
232970
299.5 IPS |
|
|
Style Transfer (Q)
|
96% |
297029
383.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6116
225.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49503
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83408
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2981
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
6063
8.09 KIPS |
|
|
Text Classification (Q)
|
93% |
5629
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4399
75.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16529
284.7 IPS |
|
|
Machine Translation (Q)
|
98% |
18243
315.3 IPS |
