Mac16,12
Geekbench AI Score
4802
Single Precision Score
36756
Half Precision Score
52111
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | oldnick |
| Upload Date | May 04 2025 07:19 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2067
384.3 IPS |
|
|
Image Classification (HP)
|
100% |
17458
3.25 KIPS |
|
|
Image Classification (Q)
|
97% |
27518
5.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2139
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22132
358.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30127
488.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10003
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122440
142.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
231431
271.3 IPS |
|
|
Object Detection (SP)
|
100% |
2441
193.6 IPS |
|
|
Object Detection (HP)
|
100% |
18292
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
25885
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4143
49.2 IPS |
|
|
Face Detection (HP)
|
100% |
43631
518.4 IPS |
|
|
Face Detection (Q)
|
100% |
63490
754.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8608
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
98969
762.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
167651
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
21712
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
232336
298.7 IPS |
|
|
Style Transfer (Q)
|
96% |
296173
382.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6116
225.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49389
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84023
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
2900
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
6302
8.41 KIPS |
|
|
Text Classification (Q)
|
93% |
6126
8.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
4402
75.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16659
286.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18325
316.7 IPS |
