Mac16,13
Geekbench AI Score
9225
Single Precision Score
10527
Half Precision Score
10586
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 12 2025 04:42 AM |
| Views | 3 |
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% |
4489
834.8 IPS |
|
|
Image Classification (HP)
|
100% |
4873
906.3 IPS |
|
|
Image Classification (Q)
|
96% |
4413
824.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
7148
115.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7674
124.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7644
123.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
27042
31.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
30829
36.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
30022
35.2 IPS |
|
|
Object Detection (SP)
|
100% |
4317
342.4 IPS |
|
|
Object Detection (HP)
|
100% |
5175
410.5 IPS |
|
|
Object Detection (Q)
|
92% |
4821
384.8 IPS |
|
|
Face Detection (SP)
|
100% |
12535
148.9 IPS |
|
|
Face Detection (HP)
|
100% |
16637
197.7 IPS |
|
|
Face Detection (Q)
|
100% |
13381
159.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
19856
153.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
22301
171.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
20047
156.6 IPS |
|
|
Style Transfer (SP)
|
100% |
55385
71.2 IPS |
|
|
Style Transfer (HP)
|
100% |
67106
86.3 IPS |
|
|
Style Transfer (Q)
|
96% |
65462
84.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11412
421.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12070
445.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10268
379.2 IPS |
|
|
Text Classification (SP)
|
100% |
3314
4.42 KIPS |
|
|
Text Classification (HP)
|
99% |
5840
7.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5929
7.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2287
39.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1597
27.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3388
58.6 IPS |
