Mac16,12
Geekbench AI Score
4863
Single Precision Score
36604
Half Precision Score
51325
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | gmion |
| Upload Date | October 13 2025 02:19 PM |
| Views | 7 |
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% |
2096
389.8 IPS |
|
|
Image Classification (HP)
|
100% |
17319
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
23799
4.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2144
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22128
358.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
28878
468.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9991
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122534
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
231898
271.8 IPS |
|
|
Object Detection (SP)
|
100% |
2462
195.3 IPS |
|
|
Object Detection (HP)
|
100% |
18833
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
25937
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4308
51.2 IPS |
|
|
Face Detection (HP)
|
100% |
43460
516.4 IPS |
|
|
Face Detection (Q)
|
100% |
63457
754.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8756
67.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
99055
763.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
169718
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
21657
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
230919
296.8 IPS |
|
|
Style Transfer (Q)
|
96% |
295522
381.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6140
226.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49311
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86066
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3050
4.07 KIPS |
|
|
Text Classification (HP)
|
100% |
6045
8.07 KIPS |
|
|
Text Classification (Q)
|
93% |
6160
8.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
4375
75.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16481
283.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18189
314.3 IPS |
