Mac16,12
Geekbench AI Score
4867
Single Precision Score
36274
Half Precision Score
50542
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | gmion |
| Upload Date | October 13 2025 01:18 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2100
390.5 IPS |
|
|
Image Classification (HP)
|
100% |
17413
3.24 KIPS |
|
|
Image Classification (Q)
|
97% |
24101
4.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2151
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22110
358.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30329
491.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9951
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122734
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
231898
271.8 IPS |
|
|
Object Detection (SP)
|
100% |
2472
196.1 IPS |
|
|
Object Detection (HP)
|
100% |
18649
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
26139
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
4356
51.8 IPS |
|
|
Face Detection (HP)
|
100% |
39736
472.1 IPS |
|
|
Face Detection (Q)
|
100% |
63434
753.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8706
67.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
98991
762.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
167132
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
21655
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
230892
296.8 IPS |
|
|
Style Transfer (Q)
|
96% |
295453
381.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6142
226.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49409
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82857
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3030
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
6016
8.03 KIPS |
|
|
Text Classification (Q)
|
93% |
5175
6.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
4396
75.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16580
285.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18279
315.9 IPS |
