Mac16,12
Geekbench AI Score
8853
Single Precision Score
10813
Half Precision Score
10421
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | gmion |
| Upload Date | October 15 2025 11:57 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| 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% |
4385
815.5 IPS |
|
|
Image Classification (HP)
|
100% |
4773
887.6 IPS |
|
|
Image Classification (Q)
|
96% |
4485
837.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7119
115.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7651
124.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7556
122.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
27644
32.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
29729
34.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
29391
34.4 IPS |
|
|
Object Detection (SP)
|
100% |
4528
359.1 IPS |
|
|
Object Detection (HP)
|
100% |
5143
407.9 IPS |
|
|
Object Detection (Q)
|
92% |
4760
380.0 IPS |
|
|
Face Detection (SP)
|
100% |
12778
151.8 IPS |
|
|
Face Detection (HP)
|
100% |
15936
189.4 IPS |
|
|
Face Detection (Q)
|
100% |
13456
159.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
20278
156.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
21884
168.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
19995
156.2 IPS |
|
|
Style Transfer (SP)
|
100% |
57658
74.1 IPS |
|
|
Style Transfer (HP)
|
100% |
66153
85.0 IPS |
|
|
Style Transfer (Q)
|
96% |
64476
83.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11802
435.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11440
422.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10300
380.3 IPS |
|
|
Text Classification (SP)
|
100% |
2899
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
5647
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5293
7.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1481
25.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2628
45.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3369
58.2 IPS |
