Mac16,12
Geekbench AI Score
9274
Single Precision Score
11115
Half Precision Score
9775
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 22 2025 07:35 AM |
| Views | 2 |
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% |
4516
839.8 IPS |
|
|
Image Classification (HP)
|
100% |
4945
919.6 IPS |
|
|
Image Classification (Q)
|
96% |
4447
830.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
7226
117.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7923
128.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7637
123.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
26851
31.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
30902
36.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
30100
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4506
357.4 IPS |
|
|
Object Detection (HP)
|
100% |
5393
427.8 IPS |
|
|
Object Detection (Q)
|
92% |
4887
390.1 IPS |
|
|
Face Detection (SP)
|
100% |
12368
147.0 IPS |
|
|
Face Detection (HP)
|
100% |
16516
196.2 IPS |
|
|
Face Detection (Q)
|
100% |
13228
157.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
19817
152.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
22169
170.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
20131
157.2 IPS |
|
|
Style Transfer (SP)
|
100% |
56000
72.0 IPS |
|
|
Style Transfer (HP)
|
100% |
66886
86.0 IPS |
|
|
Style Transfer (Q)
|
96% |
64441
83.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11750
433.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11640
429.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10315
380.9 IPS |
|
|
Text Classification (SP)
|
100% |
3376
4.51 KIPS |
|
|
Text Classification (HP)
|
99% |
5860
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5798
7.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
2191
37.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2639
45.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1554
26.9 IPS |
