Mac16,13
Geekbench AI Score
8981
Single Precision Score
10679
Half Precision Score
10341
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 06 2025 09:04 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4503
837.4 IPS |
|
|
Image Classification (HP)
|
100% |
4968
923.8 IPS |
|
|
Image Classification (Q)
|
96% |
4433
827.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7086
114.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7899
128.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7621
123.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
27095
31.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
30839
36.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
30052
35.2 IPS |
|
|
Object Detection (SP)
|
100% |
4593
364.3 IPS |
|
|
Object Detection (HP)
|
100% |
5215
413.7 IPS |
|
|
Object Detection (Q)
|
92% |
4831
385.6 IPS |
|
|
Face Detection (SP)
|
100% |
12408
147.4 IPS |
|
|
Face Detection (HP)
|
100% |
16753
199.1 IPS |
|
|
Face Detection (Q)
|
100% |
12977
154.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
19970
153.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
22808
175.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
20356
159.0 IPS |
|
|
Style Transfer (SP)
|
100% |
54590
70.2 IPS |
|
|
Style Transfer (HP)
|
100% |
68193
87.7 IPS |
|
|
Style Transfer (Q)
|
96% |
65190
84.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11372
419.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11736
433.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10371
383.0 IPS |
|
|
Text Classification (SP)
|
100% |
3355
4.48 KIPS |
|
|
Text Classification (HP)
|
99% |
5815
7.76 KIPS |
|
|
Text Classification (Q)
|
93% |
5774
7.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1666
28.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1719
29.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2767
47.8 IPS |
