Mac16,12
Geekbench AI Score
4807
Single Precision Score
7825
Half Precision Score
6268
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 23 2025 06:54 PM |
| Views | 8 |
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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2039
379.3 IPS |
|
|
Image Classification (HP)
|
100% |
3383
629.1 IPS |
|
|
Image Classification (Q)
|
96% |
2313
431.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2034
33.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3060
49.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3395
55.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9782
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18987
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16208
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2373
188.2 IPS |
|
|
Object Detection (HP)
|
97% |
3700
294.6 IPS |
|
|
Object Detection (Q)
|
94% |
2613
208.2 IPS |
|
|
Face Detection (SP)
|
100% |
4124
49.0 IPS |
|
|
Face Detection (HP)
|
100% |
7395
87.9 IPS |
|
|
Face Detection (Q)
|
100% |
4288
51.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8295
63.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13725
106.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9637
75.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22592
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37616
48.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31066
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5850
216.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6993
258.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4885
180.4 IPS |
|
|
Text Classification (SP)
|
100% |
3336
4.45 KIPS |
|
|
Text Classification (HP)
|
99% |
5740
7.66 KIPS |
|
|
Text Classification (Q)
|
93% |
5711
7.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
4538
78.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7732
133.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7859
135.8 IPS |
