Mac16,12
Geekbench AI Score
4824
Single Precision Score
7902
Half Precision Score
6406
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | esterr123 |
| Upload Date | October 23 2025 11:31 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2081
387.1 IPS |
|
|
Image Classification (HP)
|
100% |
3316
616.6 IPS |
|
|
Image Classification (Q)
|
96% |
2315
432.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2148
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3153
51.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3630
58.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9979
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19404
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16693
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2468
195.8 IPS |
|
|
Object Detection (HP)
|
97% |
3796
302.2 IPS |
|
|
Object Detection (Q)
|
94% |
2717
216.6 IPS |
|
|
Face Detection (SP)
|
100% |
4218
50.1 IPS |
|
|
Face Detection (HP)
|
100% |
7465
88.7 IPS |
|
|
Face Detection (Q)
|
100% |
4494
53.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8682
66.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14675
113.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10274
80.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21647
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38646
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31996
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6131
226.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7261
268.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5017
185.3 IPS |
|
|
Text Classification (SP)
|
100% |
2906
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5589
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5602
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
4391
75.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7181
124.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7356
127.1 IPS |
