Mac16,12
Geekbench AI Score
4826
Single Precision Score
37045
Half Precision Score
53000
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | StanH |
| Upload Date | October 01 2025 03:21 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2030
377.4 IPS |
|
|
Image Classification (HP)
|
100% |
18303
3.40 KIPS |
|
|
Image Classification (Q)
|
97% |
27047
5.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2045
33.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22283
361.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
30473
494.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9915
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123451
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
232155
272.1 IPS |
|
|
Object Detection (SP)
|
100% |
2406
190.9 IPS |
|
|
Object Detection (HP)
|
100% |
18544
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
27679
2.21 KIPS |
|
|
Face Detection (SP)
|
100% |
4055
48.2 IPS |
|
|
Face Detection (HP)
|
100% |
42239
501.9 IPS |
|
|
Face Detection (Q)
|
100% |
63551
755.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8378
64.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
100532
774.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
173290
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
22551
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
235383
302.6 IPS |
|
|
Style Transfer (Q)
|
96% |
320927
414.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6011
221.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53324
1.97 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86371
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3344
4.46 KIPS |
|
|
Text Classification (HP)
|
99% |
5825
7.78 KIPS |
|
|
Text Classification (Q)
|
93% |
5779
7.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
4501
77.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16796
289.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18720
323.5 IPS |
