Mac16,13
Geekbench AI Score
4622
Single Precision Score
37568
Half Precision Score
52742
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | AGW2022 |
| Upload Date | December 01 2025 11:55 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.98 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1972
366.8 IPS |
|
|
Image Classification (HP)
|
100% |
18659
3.47 KIPS |
|
|
Image Classification (Q)
|
97% |
27131
5.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1996
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22589
366.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
30616
496.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9362
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
122716
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
231703
271.6 IPS |
|
|
Object Detection (SP)
|
100% |
2227
176.6 IPS |
|
|
Object Detection (HP)
|
100% |
19658
1.56 KIPS |
|
|
Object Detection (Q)
|
91% |
26419
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
3630
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
44540
529.2 IPS |
|
|
Face Detection (Q)
|
100% |
64047
761.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8124
62.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
100587
775.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
170835
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
21484
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
233211
299.8 IPS |
|
|
Style Transfer (Q)
|
96% |
320507
413.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5730
211.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53235
1.97 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
88184
3.26 KIPS |
|
|
Text Classification (SP)
|
100% |
3352
4.47 KIPS |
|
|
Text Classification (HP)
|
99% |
5861
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5792
7.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
4464
76.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16897
291.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18290
316.1 IPS |
