Mac16,12
Geekbench AI Score
4955
Single Precision Score
8040
Half Precision Score
6458
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | harry34x |
| Upload Date | October 26 2025 06:49 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2109
392.2 IPS |
|
|
Image Classification (HP)
|
100% |
3359
624.7 IPS |
|
|
Image Classification (Q)
|
96% |
2357
440.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2103
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3199
51.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3585
58.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10074
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19402
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16700
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2467
195.7 IPS |
|
|
Object Detection (HP)
|
97% |
3768
300.0 IPS |
|
|
Object Detection (Q)
|
94% |
2720
216.8 IPS |
|
|
Face Detection (SP)
|
100% |
4296
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
7771
92.3 IPS |
|
|
Face Detection (Q)
|
100% |
4499
53.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8582
66.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14119
109.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9994
78.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24394
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38713
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31886
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6114
225.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7065
260.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4925
181.9 IPS |
|
|
Text Classification (SP)
|
100% |
3220
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5981
7.98 KIPS |
|
|
Text Classification (Q)
|
93% |
5811
7.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
4578
78.9 IPS |
|
|
Machine Translation (HP)
|
98% |
8008
138.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8015
138.5 IPS |
