Mac16,13
Geekbench AI Score
4852
Single Precision Score
36624
Half Precision Score
52089
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | jchan |
| Upload Date | November 18 2025 05:29 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| Model | Mac16,13 |
| Model ID | Mac16,13 |
| Motherboard | Mac16,13 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2063
383.6 IPS |
|
|
Image Classification (HP)
|
100% |
17532
3.26 KIPS |
|
|
Image Classification (Q)
|
97% |
24781
4.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2079
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
21963
356.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
30120
488.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9644
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
122942
143.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
231178
271.0 IPS |
|
|
Object Detection (SP)
|
100% |
2407
190.9 IPS |
|
|
Object Detection (HP)
|
100% |
18292
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
26775
2.14 KIPS |
|
|
Face Detection (SP)
|
100% |
4187
49.8 IPS |
|
|
Face Detection (HP)
|
100% |
43885
521.5 IPS |
|
|
Face Detection (Q)
|
100% |
63002
748.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8499
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
99497
766.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
170210
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
23587
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
234363
301.3 IPS |
|
|
Style Transfer (Q)
|
96% |
321132
414.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5987
221.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52939
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
88683
3.27 KIPS |
|
|
Text Classification (SP)
|
100% |
3243
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5725
7.64 KIPS |
|
|
Text Classification (Q)
|
93% |
5641
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
4465
76.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16167
278.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18477
319.3 IPS |
