Mac16,12
Geekbench AI Score
4795
Single Precision Score
7857
Half Precision Score
6277
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 28 2025 05:11 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2048
380.9 IPS |
|
|
Image Classification (HP)
|
100% |
3349
622.9 IPS |
|
|
Image Classification (Q)
|
96% |
2270
423.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1984
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3135
50.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3484
56.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9988
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19341
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16516
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2419
191.8 IPS |
|
|
Object Detection (HP)
|
97% |
3791
301.8 IPS |
|
|
Object Detection (Q)
|
94% |
2656
211.7 IPS |
|
|
Face Detection (SP)
|
100% |
4146
49.3 IPS |
|
|
Face Detection (HP)
|
100% |
7533
89.5 IPS |
|
|
Face Detection (Q)
|
100% |
4380
52.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8283
63.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13700
105.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9625
75.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22045
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37956
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31224
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5858
216.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7004
258.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4948
182.7 IPS |
|
|
Text Classification (SP)
|
100% |
3325
4.44 KIPS |
|
|
Text Classification (HP)
|
99% |
5812
7.76 KIPS |
|
|
Text Classification (Q)
|
93% |
5723
7.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
4440
76.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7304
126.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7347
127.0 IPS |
