Mac16,12
Geekbench AI Score
4722
Single Precision Score
7797
Half Precision Score
6278
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Zypherix |
| Upload Date | November 09 2025 03:04 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.2 (Build 24G325) |
| 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% |
2035
378.5 IPS |
|
|
Image Classification (HP)
|
100% |
3299
613.5 IPS |
|
|
Image Classification (Q)
|
96% |
2284
426.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2085
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3104
50.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3551
57.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9601
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
19240
22.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16463
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2374
188.3 IPS |
|
|
Object Detection (HP)
|
97% |
3737
297.5 IPS |
|
|
Object Detection (Q)
|
94% |
2662
212.2 IPS |
|
|
Face Detection (SP)
|
100% |
4103
48.8 IPS |
|
|
Face Detection (HP)
|
100% |
7242
86.0 IPS |
|
|
Face Detection (Q)
|
100% |
4317
51.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8519
65.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14446
111.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10087
78.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20589
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38093
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31595
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6075
224.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7241
267.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5048
186.4 IPS |
|
|
Text Classification (SP)
|
100% |
2945
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5485
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5322
7.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
4429
76.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7134
123.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7250
125.3 IPS |
