Mac16,12
Geekbench AI Score
4842
Single Precision Score
7937
Half Precision Score
6363
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | asymptotepmo |
| Upload Date | December 04 2025 09:35 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
2077
386.3 IPS |
|
|
Image Classification (HP)
|
100% |
3348
622.6 IPS |
|
|
Image Classification (Q)
|
96% |
2335
436.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2127
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3162
51.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3585
58.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9972
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19368
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16709
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2446
194.1 IPS |
|
|
Object Detection (HP)
|
97% |
3784
301.3 IPS |
|
|
Object Detection (Q)
|
94% |
2720
216.8 IPS |
|
|
Face Detection (SP)
|
100% |
4276
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
7496
89.1 IPS |
|
|
Face Detection (Q)
|
100% |
4337
51.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8649
66.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14613
113.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10251
80.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21538
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38593
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31999
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6118
225.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7351
271.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5017
185.3 IPS |
|
|
Text Classification (SP)
|
100% |
3077
4.11 KIPS |
|
|
Text Classification (HP)
|
100% |
5617
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5674
7.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
4389
75.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7326
126.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7065
122.1 IPS |
