Mac16,12
Geekbench AI Score
9033
Single Precision Score
10743
Half Precision Score
9874
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 25 2025 03:49 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4620
859.1 IPS |
|
|
Image Classification (HP)
|
100% |
5125
953.2 IPS |
|
|
Image Classification (Q)
|
96% |
4557
850.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7087
114.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7779
126.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7671
124.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
27180
31.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
31101
36.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
30266
35.5 IPS |
|
|
Object Detection (SP)
|
100% |
4648
368.7 IPS |
|
|
Object Detection (HP)
|
100% |
5311
421.2 IPS |
|
|
Object Detection (Q)
|
92% |
4871
388.8 IPS |
|
|
Face Detection (SP)
|
100% |
12542
149.0 IPS |
|
|
Face Detection (HP)
|
100% |
16803
199.7 IPS |
|
|
Face Detection (Q)
|
100% |
13461
159.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
20315
156.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
22349
172.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
20598
160.9 IPS |
|
|
Style Transfer (SP)
|
100% |
56069
72.1 IPS |
|
|
Style Transfer (HP)
|
100% |
66927
86.0 IPS |
|
|
Style Transfer (Q)
|
96% |
65104
84.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11615
428.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11864
438.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10710
395.5 IPS |
|
|
Text Classification (SP)
|
100% |
3400
4.54 KIPS |
|
|
Text Classification (HP)
|
99% |
6179
8.25 KIPS |
|
|
Text Classification (Q)
|
93% |
6091
8.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1551
26.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1689
29.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1452
25.1 IPS |
