Mac16,12
Geekbench AI Score
4946
Single Precision Score
36262
Half Precision Score
51189
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 06 2025 07:36 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2117
393.7 IPS |
|
|
Image Classification (HP)
|
100% |
16726
3.11 KIPS |
|
|
Image Classification (Q)
|
97% |
23567
4.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2080
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22377
362.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
30912
501.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10008
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122600
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
232128
272.1 IPS |
|
|
Object Detection (SP)
|
100% |
2447
194.1 IPS |
|
|
Object Detection (HP)
|
100% |
18139
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
25915
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4313
51.2 IPS |
|
|
Face Detection (HP)
|
100% |
43307
514.6 IPS |
|
|
Face Detection (Q)
|
100% |
61118
726.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8565
66.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
100079
771.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
166503
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
24243
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
235302
302.5 IPS |
|
|
Style Transfer (Q)
|
96% |
320508
413.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6098
225.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50935
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85183
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3252
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5523
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5606
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
4582
78.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16464
283.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18100
312.8 IPS |
