Mac16,12
Geekbench AI Score
2463
Single Precision Score
29108
Half Precision Score
41883
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | September 16 2025 07:23 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 2.71 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
716
133.2 IPS |
|
|
Image Classification (HP)
|
100% |
14333
2.67 KIPS |
|
|
Image Classification (Q)
|
97% |
22324
4.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1110
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
17498
283.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
25487
413.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5340
6.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
77897
90.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
149028
174.7 IPS |
|
|
Object Detection (SP)
|
100% |
1420
112.6 IPS |
|
|
Object Detection (HP)
|
100% |
15548
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
20845
1.67 KIPS |
|
|
Face Detection (SP)
|
100% |
2226
26.4 IPS |
|
|
Face Detection (HP)
|
100% |
31442
373.6 IPS |
|
|
Face Detection (Q)
|
100% |
46954
557.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4900
37.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
73542
566.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
129844
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
9533
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
182277
234.3 IPS |
|
|
Style Transfer (Q)
|
96% |
236061
304.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2936
108.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39642
1.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
69602
2.57 KIPS |
|
|
Text Classification (SP)
|
100% |
1710
2.28 KIPS |
|
|
Text Classification (HP)
|
100% |
6436
8.59 KIPS |
|
|
Text Classification (Q)
|
93% |
6456
8.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
2617
45.1 IPS |
|
|
Machine Translation (HP)
|
100% |
13368
230.3 IPS |
|
|
Machine Translation (Q)
|
98% |
14534
251.2 IPS |
