Mac16,12
Geekbench AI Score
9042
Single Precision Score
11169
Half Precision Score
10713
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 06 2025 09:20 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B77) |
| 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 | 4.39 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4466
830.6 IPS |
|
|
Image Classification (HP)
|
100% |
4969
924.0 IPS |
|
|
Image Classification (Q)
|
96% |
4567
852.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7068
114.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7735
125.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7683
124.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
26885
31.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
31009
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30158
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4545
360.5 IPS |
|
|
Object Detection (HP)
|
100% |
5128
406.7 IPS |
|
|
Object Detection (Q)
|
92% |
4806
383.6 IPS |
|
|
Face Detection (SP)
|
100% |
12537
149.0 IPS |
|
|
Face Detection (HP)
|
100% |
16667
198.0 IPS |
|
|
Face Detection (Q)
|
100% |
13377
159.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
19994
154.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
22408
172.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
20362
159.0 IPS |
|
|
Style Transfer (SP)
|
100% |
54626
70.2 IPS |
|
|
Style Transfer (HP)
|
100% |
67211
86.4 IPS |
|
|
Style Transfer (Q)
|
96% |
64887
83.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11393
420.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11925
440.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10772
397.7 IPS |
|
|
Text Classification (SP)
|
100% |
3405
4.54 KIPS |
|
|
Text Classification (HP)
|
99% |
5909
7.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5738
7.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
1784
30.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2796
48.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3586
62.0 IPS |
