Mac16,12
Geekbench AI Score
4856
Single Precision Score
7843
Half Precision Score
6278
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | StanH |
| Upload Date | October 01 2025 03:17 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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% |
2053
381.9 IPS |
|
|
Image Classification (HP)
|
100% |
3359
624.7 IPS |
|
|
Image Classification (Q)
|
96% |
2291
427.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2051
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3124
50.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3258
52.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9684
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19150
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16455
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2373
188.2 IPS |
|
|
Object Detection (HP)
|
97% |
3749
298.4 IPS |
|
|
Object Detection (Q)
|
94% |
2665
212.4 IPS |
|
|
Face Detection (SP)
|
100% |
4161
49.4 IPS |
|
|
Face Detection (HP)
|
100% |
7499
89.1 IPS |
|
|
Face Detection (Q)
|
100% |
4371
51.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8421
64.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13935
107.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9780
76.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23885
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38547
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31624
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6000
221.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7163
264.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5000
184.6 IPS |
|
|
Text Classification (SP)
|
100% |
3394
4.53 KIPS |
|
|
Text Classification (HP)
|
99% |
5860
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5801
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
4425
76.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6915
119.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7416
128.2 IPS |
