Mac16,12
Geekbench AI Score
8747
Single Precision Score
10343
Half Precision Score
10266
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | StanH |
| Upload Date | August 08 2025 03:46 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5316i) |
| 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% |
4510
838.7 IPS |
|
|
Image Classification (HP)
|
100% |
4965
923.4 IPS |
|
|
Image Classification (Q)
|
96% |
4484
837.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
7104
115.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7728
125.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7616
123.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
26970
31.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
30988
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30126
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4550
360.9 IPS |
|
|
Object Detection (HP)
|
100% |
5059
401.3 IPS |
|
|
Object Detection (Q)
|
92% |
3977
317.4 IPS |
|
|
Face Detection (SP)
|
100% |
12330
146.5 IPS |
|
|
Face Detection (HP)
|
100% |
16267
193.3 IPS |
|
|
Face Detection (Q)
|
100% |
13381
159.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
19972
153.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
22483
173.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
20193
157.7 IPS |
|
|
Style Transfer (SP)
|
100% |
55658
71.5 IPS |
|
|
Style Transfer (HP)
|
100% |
66766
85.8 IPS |
|
|
Style Transfer (Q)
|
96% |
64777
83.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11209
413.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11564
427.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10191
376.3 IPS |
|
|
Text Classification (SP)
|
100% |
3242
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5575
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5496
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1340
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1480
25.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3243
56.1 IPS |
