Mac16,13
Geekbench AI Score
10099
Single Precision Score
11983
Half Precision Score
11094
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | pmjbf |
| Upload Date | September 14 2025 06:29 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A353) |
| 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% |
4597
855.0 IPS |
|
|
Image Classification (HP)
|
100% |
4992
928.4 IPS |
|
|
Image Classification (Q)
|
96% |
4463
833.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
7195
116.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8009
129.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7667
124.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
27144
31.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
31018
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30248
35.4 IPS |
|
|
Object Detection (SP)
|
100% |
4640
368.1 IPS |
|
|
Object Detection (HP)
|
100% |
5199
412.4 IPS |
|
|
Object Detection (Q)
|
92% |
4801
383.2 IPS |
|
|
Face Detection (SP)
|
100% |
12564
149.3 IPS |
|
|
Face Detection (HP)
|
100% |
16669
198.1 IPS |
|
|
Face Detection (Q)
|
100% |
13432
159.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20137
155.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
22433
172.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
20464
159.8 IPS |
|
|
Style Transfer (SP)
|
100% |
55351
71.2 IPS |
|
|
Style Transfer (HP)
|
100% |
67983
87.4 IPS |
|
|
Style Transfer (Q)
|
96% |
65653
84.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11442
422.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11786
435.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10293
380.1 IPS |
|
|
Text Classification (SP)
|
100% |
3350
4.47 KIPS |
|
|
Text Classification (HP)
|
99% |
5959
7.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5771
7.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
4939
85.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5304
91.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5304
91.7 IPS |
