Mac16,12
Geekbench AI Score
9333
Single Precision Score
10424
Half Precision Score
9709
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | September 16 2025 07:25 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4446
826.8 IPS |
|
|
Image Classification (HP)
|
100% |
4891
909.6 IPS |
|
|
Image Classification (Q)
|
96% |
4496
839.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7151
115.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7808
126.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7603
123.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
27690
32.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
29773
34.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
29431
34.5 IPS |
|
|
Object Detection (SP)
|
100% |
4575
362.9 IPS |
|
|
Object Detection (HP)
|
100% |
5159
409.2 IPS |
|
|
Object Detection (Q)
|
92% |
4746
378.8 IPS |
|
|
Face Detection (SP)
|
100% |
12825
152.4 IPS |
|
|
Face Detection (HP)
|
100% |
16315
193.9 IPS |
|
|
Face Detection (Q)
|
100% |
13341
158.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
20431
157.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
21935
169.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
20048
156.6 IPS |
|
|
Style Transfer (SP)
|
100% |
56750
73.0 IPS |
|
|
Style Transfer (HP)
|
100% |
66218
85.1 IPS |
|
|
Style Transfer (Q)
|
96% |
64333
83.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11600
428.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11488
424.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10323
381.2 IPS |
|
|
Text Classification (SP)
|
100% |
2947
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5458
7.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5458
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2451
42.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1739
30.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1609
27.8 IPS |
