Mac16,13
Geekbench AI Score
9035
Single Precision Score
10556
Half Precision Score
9771
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | maxxx |
| Upload Date | December 11 2025 11:51 PM |
| Views | 6 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4439
825.6 IPS |
|
|
Image Classification (HP)
|
100% |
4922
915.4 IPS |
|
|
Image Classification (Q)
|
96% |
4347
811.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7045
114.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7837
127.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7580
122.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
27094
31.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
30985
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30121
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4617
366.3 IPS |
|
|
Object Detection (HP)
|
100% |
5158
409.1 IPS |
|
|
Object Detection (Q)
|
92% |
4769
380.7 IPS |
|
|
Face Detection (SP)
|
100% |
12620
150.0 IPS |
|
|
Face Detection (HP)
|
100% |
16660
198.0 IPS |
|
|
Face Detection (Q)
|
100% |
13431
159.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
19958
153.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
22024
169.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
19953
155.8 IPS |
|
|
Style Transfer (SP)
|
100% |
55626
71.5 IPS |
|
|
Style Transfer (HP)
|
100% |
66784
85.9 IPS |
|
|
Style Transfer (Q)
|
96% |
65055
84.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11377
420.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11677
431.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10279
379.5 IPS |
|
|
Text Classification (SP)
|
100% |
3334
4.45 KIPS |
|
|
Text Classification (HP)
|
99% |
5699
7.61 KIPS |
|
|
Text Classification (Q)
|
93% |
5686
7.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
1744
30.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1710
29.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1646
28.4 IPS |
