Mac16,12
Geekbench AI Score
4910
Single Precision Score
7987
Half Precision Score
6390
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | dirkjumpertz |
| Upload Date | November 05 2025 01:59 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 4.43 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2068
384.5 IPS |
|
|
Image Classification (HP)
|
100% |
3370
626.6 IPS |
|
|
Image Classification (Q)
|
96% |
2310
431.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2097
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3151
51.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3487
56.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9985
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19416
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16610
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2400
190.3 IPS |
|
|
Object Detection (HP)
|
97% |
3801
302.6 IPS |
|
|
Object Detection (Q)
|
94% |
2678
213.5 IPS |
|
|
Face Detection (SP)
|
100% |
4204
49.9 IPS |
|
|
Face Detection (HP)
|
100% |
7611
90.4 IPS |
|
|
Face Detection (Q)
|
100% |
4375
52.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8419
64.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13868
107.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9819
76.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24333
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38531
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31665
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6046
223.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7170
264.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5025
185.6 IPS |
|
|
Text Classification (SP)
|
100% |
3330
4.44 KIPS |
|
|
Text Classification (HP)
|
99% |
5736
7.66 KIPS |
|
|
Text Classification (Q)
|
93% |
5852
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
4521
77.9 IPS |
|
|
Machine Translation (HP)
|
98% |
8062
139.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7927
137.0 IPS |
