Mac16,12
Geekbench AI Score
8959
Single Precision Score
10887
Half Precision Score
10426
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 22 2025 08:54 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4435
824.8 IPS |
|
|
Image Classification (HP)
|
100% |
4957
921.8 IPS |
|
|
Image Classification (Q)
|
96% |
4435
828.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7067
114.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7888
127.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7659
124.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
27083
31.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
31060
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30215
35.4 IPS |
|
|
Object Detection (SP)
|
100% |
4591
364.1 IPS |
|
|
Object Detection (HP)
|
100% |
5160
409.3 IPS |
|
|
Object Detection (Q)
|
92% |
4769
380.7 IPS |
|
|
Face Detection (SP)
|
100% |
12675
150.6 IPS |
|
|
Face Detection (HP)
|
100% |
16744
199.0 IPS |
|
|
Face Detection (Q)
|
100% |
13470
160.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
20142
155.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
22471
173.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
20486
160.0 IPS |
|
|
Style Transfer (SP)
|
100% |
55502
71.3 IPS |
|
|
Style Transfer (HP)
|
100% |
67256
86.5 IPS |
|
|
Style Transfer (Q)
|
96% |
64985
83.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11339
418.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11793
435.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10288
379.9 IPS |
|
|
Text Classification (SP)
|
100% |
3305
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
5928
7.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5825
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
1611
27.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2112
36.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2887
49.9 IPS |
