Mac16,12
Geekbench AI Score
9154
Single Precision Score
11028
Half Precision Score
10376
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | drodriguezwpb |
| Upload Date | October 07 2025 08:34 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4535
843.3 IPS |
|
|
Image Classification (HP)
|
100% |
4986
927.2 IPS |
|
|
Image Classification (Q)
|
96% |
4365
815.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7112
115.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7881
127.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7651
124.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
27103
31.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
30998
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30130
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4633
367.5 IPS |
|
|
Object Detection (HP)
|
100% |
5178
410.8 IPS |
|
|
Object Detection (Q)
|
92% |
4781
381.6 IPS |
|
|
Face Detection (SP)
|
100% |
12686
150.7 IPS |
|
|
Face Detection (HP)
|
100% |
16792
199.5 IPS |
|
|
Face Detection (Q)
|
100% |
13426
159.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
20020
154.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
22263
171.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
20145
157.4 IPS |
|
|
Style Transfer (SP)
|
100% |
55845
71.8 IPS |
|
|
Style Transfer (HP)
|
100% |
67257
86.5 IPS |
|
|
Style Transfer (Q)
|
96% |
65395
84.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11357
419.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11725
432.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10262
378.9 IPS |
|
|
Text Classification (SP)
|
100% |
3339
4.46 KIPS |
|
|
Text Classification (HP)
|
99% |
5937
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5857
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
1898
32.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2411
41.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2829
48.9 IPS |
