Mac16,12
Geekbench AI Score
4932
Single Precision Score
7958
Half Precision Score
6405
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 13 2025 08:15 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
2093
389.2 IPS |
|
|
Image Classification (HP)
|
100% |
3381
628.8 IPS |
|
|
Image Classification (Q)
|
96% |
2339
436.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2091
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3206
52.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3573
57.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9983
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19372
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16671
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2454
194.6 IPS |
|
|
Object Detection (HP)
|
97% |
3777
300.7 IPS |
|
|
Object Detection (Q)
|
94% |
2720
216.8 IPS |
|
|
Face Detection (SP)
|
100% |
4251
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
7738
91.9 IPS |
|
|
Face Detection (Q)
|
100% |
4491
53.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8491
65.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14103
109.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9972
77.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24200
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38778
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31946
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6035
222.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6894
254.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4877
180.1 IPS |
|
|
Text Classification (SP)
|
100% |
3314
4.42 KIPS |
|
|
Text Classification (HP)
|
99% |
5709
7.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5699
7.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
4551
78.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7712
133.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7720
133.4 IPS |
