Mac16,13
Geekbench AI Score
4923
Single Precision Score
36578
Half Precision Score
51801
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | September 16 2025 07:26 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2075
385.9 IPS |
|
|
Image Classification (HP)
|
100% |
18686
3.47 KIPS |
|
|
Image Classification (Q)
|
97% |
25676
4.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2105
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
21752
352.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
30972
502.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10048
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123553
144.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
232652
272.7 IPS |
|
|
Object Detection (SP)
|
100% |
2442
193.7 IPS |
|
|
Object Detection (HP)
|
100% |
17862
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
26881
2.15 KIPS |
|
|
Face Detection (SP)
|
100% |
4199
49.9 IPS |
|
|
Face Detection (HP)
|
100% |
43072
511.8 IPS |
|
|
Face Detection (Q)
|
100% |
60412
717.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8515
65.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
100906
777.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
166069
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
24248
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
232664
299.1 IPS |
|
|
Style Transfer (Q)
|
96% |
321485
414.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6116
225.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51460
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84923
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3223
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5563
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5533
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
4573
78.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16515
284.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18460
319.0 IPS |
