Mac16,12
Geekbench AI Score
9222
Single Precision Score
10927
Half Precision Score
9711
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | AllieWolfie |
| Upload Date | August 14 2025 08:22 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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% |
4434
824.6 IPS |
|
|
Image Classification (HP)
|
100% |
4948
920.1 IPS |
|
|
Image Classification (Q)
|
96% |
4538
847.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
7173
116.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7769
125.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7619
123.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
27735
32.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
29714
34.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
29396
34.4 IPS |
|
|
Object Detection (SP)
|
100% |
4587
363.9 IPS |
|
|
Object Detection (HP)
|
100% |
5299
420.4 IPS |
|
|
Object Detection (Q)
|
92% |
4743
378.6 IPS |
|
|
Face Detection (SP)
|
100% |
12813
152.2 IPS |
|
|
Face Detection (HP)
|
100% |
16128
191.6 IPS |
|
|
Face Detection (Q)
|
100% |
13428
159.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20404
157.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
21904
168.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
20057
156.7 IPS |
|
|
Style Transfer (SP)
|
100% |
55364
71.2 IPS |
|
|
Style Transfer (HP)
|
100% |
66335
85.3 IPS |
|
|
Style Transfer (Q)
|
96% |
64474
83.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11615
428.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11604
428.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10288
379.9 IPS |
|
|
Text Classification (SP)
|
100% |
2955
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5540
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5406
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2214
38.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2662
45.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1603
27.7 IPS |
