Mac16,12
Geekbench AI Score
6863
Single Precision Score
8296
Half Precision Score
7315
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 17 2025 08:02 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 2.09 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3284
610.7 IPS |
|
|
Image Classification (HP)
|
100% |
3662
681.0 IPS |
|
|
Image Classification (Q)
|
96% |
3380
631.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
5556
90.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6934
112.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
6122
99.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17470
20.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17363
20.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
16937
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
3387
268.7 IPS |
|
|
Object Detection (HP)
|
100% |
3651
289.6 IPS |
|
|
Object Detection (Q)
|
92% |
3654
291.7 IPS |
|
|
Face Detection (SP)
|
100% |
9254
110.0 IPS |
|
|
Face Detection (HP)
|
100% |
12969
154.1 IPS |
|
|
Face Detection (Q)
|
100% |
10086
119.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
15656
120.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
18465
142.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
15746
123.0 IPS |
|
|
Style Transfer (SP)
|
100% |
44295
56.9 IPS |
|
|
Style Transfer (HP)
|
100% |
49477
63.6 IPS |
|
|
Style Transfer (Q)
|
96% |
44912
58.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10395
383.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10891
402.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9357
345.5 IPS |
|
|
Text Classification (SP)
|
100% |
1905
2.54 KIPS |
|
|
Text Classification (HP)
|
99% |
3217
4.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3202
4.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1691
29.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2311
39.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1604
27.7 IPS |
