Mac16,12
Geekbench AI Score
4770
Single Precision Score
7845
Half Precision Score
6282
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | huntz |
| Upload Date | October 04 2025 10:59 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2047
380.7 IPS |
|
|
Image Classification (HP)
|
100% |
3317
616.9 IPS |
|
|
Image Classification (Q)
|
96% |
2281
425.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2050
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3120
50.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3508
56.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9976
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19423
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16592
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2406
190.9 IPS |
|
|
Object Detection (HP)
|
97% |
3773
300.4 IPS |
|
|
Object Detection (Q)
|
94% |
2686
214.1 IPS |
|
|
Face Detection (SP)
|
100% |
4166
49.5 IPS |
|
|
Face Detection (HP)
|
100% |
7605
90.4 IPS |
|
|
Face Detection (Q)
|
100% |
4376
52.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8571
66.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14538
112.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10173
79.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21391
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38510
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31792
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6101
225.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7180
265.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5056
186.7 IPS |
|
|
Text Classification (SP)
|
100% |
2991
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5388
7.19 KIPS |
|
|
Text Classification (Q)
|
93% |
5372
7.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
4346
74.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7075
122.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6990
120.8 IPS |
