Mac16,12
Geekbench AI Score
8914
Single Precision Score
10859
Half Precision Score
9812
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 04 2025 08:42 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4583
852.4 IPS |
|
|
Image Classification (HP)
|
100% |
5026
934.7 IPS |
|
|
Image Classification (Q)
|
96% |
4507
841.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
7051
114.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7901
128.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7683
124.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
27063
31.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
31035
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30288
35.5 IPS |
|
|
Object Detection (SP)
|
100% |
4543
360.4 IPS |
|
|
Object Detection (HP)
|
100% |
5145
408.1 IPS |
|
|
Object Detection (Q)
|
92% |
4759
379.9 IPS |
|
|
Face Detection (SP)
|
100% |
12251
145.6 IPS |
|
|
Face Detection (HP)
|
100% |
15891
188.8 IPS |
|
|
Face Detection (Q)
|
100% |
13241
157.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
19914
153.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
23156
178.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
20264
158.3 IPS |
|
|
Style Transfer (SP)
|
100% |
55562
71.4 IPS |
|
|
Style Transfer (HP)
|
100% |
67027
86.2 IPS |
|
|
Style Transfer (Q)
|
96% |
65105
84.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11472
423.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11961
441.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10347
382.1 IPS |
|
|
Text Classification (SP)
|
100% |
3288
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
5650
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5595
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1560
26.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2159
37.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1639
28.3 IPS |
