Mac16,9
Geekbench AI Score
5626
Single Precision Score
9354
Half Precision Score
7174
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | matt4824 |
| Upload Date | August 18 2025 09:42 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| Model | Mac16,9 |
| Model ID | Mac16,9 |
| Motherboard | Mac16,9 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2126
395.4 IPS |
|
|
Image Classification (HP)
|
100% |
3103
577.0 IPS |
|
|
Image Classification (Q)
|
96% |
2205
411.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2387
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3562
57.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3906
63.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
18217
21.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
33509
39.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
25532
29.9 IPS |
|
|
Object Detection (SP)
|
100% |
2606
206.7 IPS |
|
|
Object Detection (HP)
|
97% |
3881
309.0 IPS |
|
|
Object Detection (Q)
|
94% |
2708
215.9 IPS |
|
|
Face Detection (SP)
|
100% |
4944
58.7 IPS |
|
|
Face Detection (HP)
|
100% |
8251
98.0 IPS |
|
|
Face Detection (Q)
|
100% |
4750
56.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8891
68.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
15429
119.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10731
83.8 IPS |
|
|
Style Transfer (SP)
|
100% |
26180
33.7 IPS |
|
|
Style Transfer (HP)
|
100% |
53382
68.6 IPS |
|
|
Style Transfer (Q)
|
96% |
40741
52.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6131
226.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10210
377.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5751
212.3 IPS |
|
|
Text Classification (SP)
|
100% |
2977
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5543
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5479
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
6289
108.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9286
160.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9268
160.2 IPS |
